Pricemate

SAS Programming The One-Day Course

Aimed at researchers and students SAS Programming: The One-Day Course provides an introduction to the SAS programming language. It gives the reader a start in SAS programming and the basic data manipulations and statistical summaries that are available through SAS. The book has its origins in material prepared by the author for a one-day course in SAS programming and the fact that it has been developed from a training course is reflected in the concise nature of the presentation. Unlike other introductory competitors on the market this is a pocket-sized reference that does not clutter the programming techniques presented by trying to teach statistical techniques at the same time. Strong on explanations of how to carry out data manipulations that real-life data often call for each programming technique is supported by tasks to develop skills and confidence. It also contains tasks for the reader complete with solutions. Datasets and the programming code are available to download from www. crcpress. com/e_products/downloads. Once readers have mastered the topics covered in the book they will be well placed to learn further aspects of SAS programming. | SAS Programming The One-Day Course

GBP 175.00

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Basketball Data Science With Applications in R

Using data from one season of NBA games Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA player's shots or doing an analysis of the impact of high pressure game situations on the probability of scoring this book discusses a variety of case studies and hands-on examples using a custom R package. The codes are supplied so readers can reproduce the analyses themselves or create their own. Assuming a basic statistical knowledge Basketball Data Science with R is suitable for students technicians coaches data analysts and applied researchers. Features: One of the first books to provide statistical and data mining methods for the growing field of analytics in basketball Presents tools for modelling graphs and figures to visualize the data Includes real world case studies and examples such as estimations of scoring probability using the Golden State Warriors as a test case Provides the source code and data so readers can do their own analyses on NBA teams and players | Basketball Data Science With Applications in R

GBP 48.99

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Confidence Intervals for Discrete Data in Clinical Research

Confidence Intervals for Discrete Data in Clinical Research is designed as a toolbox for biomedical researchers. Analysis of discrete data is one of the most used yet vexing areas in clinical research. The array of methodologies available in the literature to address the inferential questions for binomial and multinomial data can be a double-edged sword. On the one hand these methods open a rich avenue of exploration of data; on the other the wide-ranging and competing methodologies potentially lead to conflicting inferences adding to researchers' confusion and frustration and also leading to reporting bias. This book addresses the problems that many practitioners experience in choosing and implementing fit for purpose data analysis methods to answer critical inferential questions for binomial and count data. The book is an outgrowth of the authors' collective experience in biomedical research and provides an excellent overview of inferential questions of interest for binomial proportions and rates based on count data and reviews various solutions to these problems available in the literature. Each chapter discusses the strengths and weaknesses of the methods and suggests practical recommendations. The book's primary focus is on applications in clinical research and the goal is to provide direct benefit to the users involved in the biomedical field.

GBP 99.99

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Advances in Distance Learning in Times of Pandemic

The book Advances in Distance Learning in Times of Pandemic is devoted to the issues and challenges faced by universities in the field of distance learning in COVID-19 times. It covers both the theoretical and practical aspects connected to distance education. It elaborates on issues regarding distance learning its challenges assessment by students and their expectations the use of tools to improve distance learning and the functioning of e-learning in the industry 4. 0 and society 5. 0 eras. The book also devotes a lot of space to the issues of Web 3. 0 in university e-learning quality assurance and knowledge management. The aim and scope of this book is to draw a holistic picture of ongoing online teaching-activities before and during the lockdown period and present the meaning and future of e-learning from students’ points of view taking into consideration their attitudes and expectations as well as industry 4. 0 and society 5. 0 aspects. The book presents the approach to distance learning and how it has changed especially during a pandemic that revolutionized education. It highlights • the function of online education and how that has changed before and during the pandemic. • how e-learning is beneficial in promoting digital citizenship. • distance learning characteristic in the era of industry 4. 0 and society 5. 0. • how the era of industry 4. 0 treats distance learning as a desirable form of education. The book covers both scientific and educational aspects and can be useful for university-level undergraduate postgraduate and research-grade courses and can be referred to by anyone interested in exploring the diverse aspects of distance learning.

GBP 110.00

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Statistical Methods in Health Disparity Research

A health disparity refers to a higher burden of illness injury disability or mortality experienced by one group relative to others attributable to multiple factors including socioeconomic status environmental factors insufficient access to health care individual risk factors and behaviors and inequalities in education. These disparities may be due to many factors including age income and race. Statistical Methods in Health Disparity Research will focus on their estimation ranging from classical approaches including the quantification of a disparity to more formal modeling to modern approaches involving more flexible computational approaches. Features: Presents an overview of methods and applications of health disparity estimation First book to synthesize research in this field in a unified statistical framework Covers classical approaches and builds to more modern computational techniques Includes many worked examples and case studies using real data Discusses available software for estimation The book is designed primarily for researchers and graduate students in biostatistics data science and computer science. It will also be useful to many quantitative modelers in genetics biology sociology and epidemiology.

GBP 90.00

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Exercises in Programming Style

The first edition of Exercises in Programming Style was honored as an ACM Notable Book and praised as The best programming book of the decade. This new edition retains the same presentation but has been upgraded to Python 3 and there is a new section on neural network styles. Using a simple computational task (term frequency) to illustrate different programming styles Exercises in Programming Style helps readers understand the various ways of writing programs and designing systems. It is designed to be used in conjunction with code provided on an online repository. The book complements and explains the raw code in a way that is accessible to anyone who regularly practices the art of programming. The book can also be used in advanced programming courses in computer science and software engineering programs. The book contains 40 different styles for writing the term frequency task. The styles are grouped into ten categories: historical basic function composition objects and object interactions reflection and metaprogramming adversity data-centric concurrency interactivity and neural networks. The author states the constraints in each style and explains the example programs. Each chapter first presents the constraints of the style next shows an example program and then gives a detailed explanation of the code. Most chapters also have sections focusing on the use of the style in systems design as well as sections describing the historical context in which the programming style emerged.

GBP 35.99

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Questioning the Universe Concepts in Physics

WINNER 2009 CHOICE AWARD OUTSTANDING ACADEMIC TITLE! The typical introduction to physics leaves readers with the impression that physics is about 30 different unconnected topics such as motion forces gravity electricity light heat energy and atoms. More often than not these readers are left to conclude that physics is mostly about boring lifeless numbers. Questioning the Universe: Concepts in Physics offers the nonscientist an alternative view: one that demonstrates how physics is perpetually evolving and shows how so many seemingly diverse concepts are intimately connected. In fact one could argue that the most important ideas in modern physics are all about unification and that these ideas are as fascinating as they are elegant. Physicists today believe that Mother Nature is remarkably efficient and requires only a relatively small number of laws to keep her universe in working order. We may not yet know all of these laws; but at the center of physics is a faith that she is indeed understandableand that someday we will see her full beauty. The purpose of this book is to tell readers the story of what we have learned about nature so far and how we have done it. Written to arouse curiosity this compelling and readable work: Delves into the most basic laws regarding motion and energy waves and particles Introduces modern theories including relativity quantum mechanics and particle physics Describes the key role played by that elemental building block the atom Discusses the evolution of the universe including the formation of stars and the mystery of dark matter and dark energy This book is not for those doing physics but is aimed at those who simply want to learn about physics so it requires only the most minimal math. What it | Questioning the Universe Concepts in Physics

GBP 175.00

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Mathematics in Cyber Research

In the last decade both scholars and practitioners have sought novel ways to address the problem of cybersecurity. Innovative outcomes have included applications such as blockchain as well as creative methods for cyber forensics software development and intrusion prevention. Accompanying these technological advancements discussion on cyber matters at national and international levels has focused primarily on the topics of law policy and strategy. The objective of these efforts is typically to promote security by establishing agreements among stakeholders on regulatory activities. Varying levels of investment in cyberspace however comes with varying levels of risk; in some ways this can translate directly to the degree of emphasis for pushing substantial change. At the very foundation or root of cyberspace systems and processes are tenets and rules governed by principles in mathematics. Topics such as encrypting or decrypting file transmissions modeling networks performing data analysis quantifying uncertainty measuring risk and weighing decisions or adversarial courses of action represent a very small subset of activities highlighted by mathematics. To facilitate education and a greater awareness of the role of mathematics in cyber systems and processes a description of research in this area is needed. Mathematics in Cyber Research aims to familiarize educators and young researchers with the breadth of mathematics in cyber-related research. Each chapter introduces a mathematical sub-field describes relevant work in this field associated with the cyber domain provides methods and tools as well as details cyber research examples or case studies. Features One of the only books to bring together such a diverse and comprehensive range of topics within mathematics and apply them to cyber research. Suitable for college undergraduate students or educators that are either interested in learning about cyber-related mathematics or intend to perform research within the cyber domain. The book may also appeal to practitioners within the commercial or government industry sectors. Most national and international venues for collaboration and discussion on cyber matters have focused primarily on the topics of law policy strategy and technology. This book is among the first to address the underpinning mathematics.

GBP 160.00

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Handbook of Statistics in Clinical Oncology

Many new challenges have arisen in the area of oncology clinical trials. New cancer therapies are often based on cytostatic or targeted agents which pose new challenges in the design and analysis of all phases of trials. The literature on adaptive trial designs and early stopping has been exploding. Inclusion of high-dimensional data and imaging techniques have become common practice and statistical methods on how to analyse such data have been refined in this area. A compilation of statistical topics relevant to these new advances in cancer research this third edition of Handbook of Statistics in Clinical Oncology focuses on the design and analysis of oncology clinical trials and translational research. Addressing the many challenges that have arisen since the publication of its predecessor this third edition covers the newest developments involved in the design and analysis of cancer clinical trials incorporating updates to all four parts: Phase I trials: Updated recommendations regarding the standard 3 + 3 and continual reassessment approaches along with new chapters on phase 0 trials and phase I trial design for targeted agents. Phase II trials: Updates to current experience in single-arm and randomized phase II trial designs. New chapters include phase II designs with multiple strata and phase II/III designs. Phase III trials: Many new chapters include interim analyses and early stopping considerations phase III trial designs for targeted agents and for testing the ability of markers adaptive trial designs cure rate survival models statistical methods of imaging as well as a thorough review of software for the design and analysis of clinical trials. Exploratory and high-dimensional data analyses: All chapters in this part have been thoroughly updated since the last edition. New chapters address methods for analyzing SNP data and for developing a score based on gene expression data. In addition chapters on risk calculators and forensic bioinformatics have been added. Accessible to statisticians and oncologists interested in clinical trial methodology the book is a single-source collection of up-to-date statistical approaches to research in clinical oncology.

GBP 52.99

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Kinetic Modelling in Systems Biology

With more and more interest in how components of biological systems interact it is important to understand the various aspects of systems biology. Kinetic Modelling in Systems Biology focuses on one of the main pillars in the future development of systems biology. It explores both the methods and applications of kinetic modeling in this emerging field. The book introduces the basic biological cellular network concepts in the context of cellular functioning explains the main aspects of the Edinburgh Pathway Editor (EPE) software package and discusses the process of constructing and verifying kinetic models. It presents the features user interface and examples of DBSolve as well as the principles of modeling individual enzymes and transporters. The authors describe how to construct kinetic models of intracellular systems on the basis of models of individual enzymes. They also illustrate how to apply the principles of kinetic modeling to collect all available information on the energy metabolism of whole organelles construct a kinetic model and predict the response of the organelle to changes in external conditions. The final chapter focuses on applications of kinetic modeling in biotechnology and biomedicine. Encouraging readers to think about future challenges this book will help them understand the kinetic modeling approach and how to apply it to solve real-life problems. Downloadable Resources FeaturesExtensively used throughout the text for pathway visualization and illustration the EPE software is available on the accompanying downloadable resources. The downloadable resources also include pathway diagrams in several graphical formats DBSolve installation with examples and all models from the book with dynamic visualization of simulation results allowing readers to perform in silico simulations and use the models as templates for further applications.

GBP 56.99

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Statistics in Action A Canadian Outlook

Commissioned by the Statistical Society of Canada (SSC) Statistics in Action: A Canadian Outlook helps both general readers and users of statistics better appreciate the scope and importance of statistics. It presents the ways in which statistics is used while highlighting key contributions that Canadian statisticians are making to science technology business government and other areas. The book emphasizes the role and impact of computing in statistical modeling and analysis including the issues involved with the huge amounts of data being generated by automated processes. The first two chapters review the development of statistics as a discipline in Canada and describe some major contributions to survey methodology made by Statistics Canada one of the world’s premier official statistics agencies. The book next discusses how statistical methodologies such as functional data analysis and the Metropolis algorithm are applied in a wide variety of fields including risk management and genetics. It then focuses on the application of statistical methods in medicine and public health as well as finance and e-commerce. The remainder of the book addresses how statistics is used to study critical scientific areas including difficult-to-access populations endangered species climate change and agricultural forecasts. About the SSCFounded in Montréal in 1972 the SSC is the main professional organization for statisticians and related professionals in Canada. Its mission is to promote the use and development of statistics and probability. The SSC publishes the bilingual quarterly newsletter SSC Liaison and the peer-reviewed scientific journal The Canadian Journal of Statistics. More information can be found at www. ssc. ca. | Statistics in Action A Canadian Outlook

GBP 59.99

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Statistics for Technology A Course in Applied Statistics Third Edition

One of the most popular introductory texts in its field Statistics for Technology: A Course in Applied Studies presents the range of statistical methods commonly used in science social science and engineering. The mathematics are simple and straightforward; statistical concepts are explained carefully; and real-life (rather than contrived) examples are used throughout the chapters. Divided into three parts the Introduction describes some simple methods of summarizing data. Theory examines the basic concepts and theory of statistics. Applications covers the planning and procedures of experiments quality control and life testing. Revised throughout this Third Edition places a higher priority on the role of computers in analysis and many new references have been incorporated. A new appendix describes general methods of tackling statistical problems including guidance on literature searching and report writing. | Statistics for Technology A Course in Applied Statistics Third Edition

GBP 180.00

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Financial Mathematics A Comprehensive Treatment in Discrete Time

The book has been tested and refined through years of classroom teaching experience. With an abundance of examples problems and fully worked out solutions the text introduces the financial theory and relevant mathematical methods in a mathematically rigorous yet engaging way. This textbook provides complete coverage of discrete-time financial models that form the cornerstones of financial derivative pricing theory. Unlike similar texts in the field this one presents multiple problem-solving approaches linking related comprehensive techniques for pricing different types of financial derivatives. Key features: In-depth coverage of discrete-time theory and methodology. Numerous fully worked out examples and exercises in every chapter. Mathematically rigorous and consistent yet bridging various basic and more advanced concepts. Judicious balance of financial theory mathematical and computational methods. Guide to Material. This revision contains: Almost 200 pages worth of new material in all chapters. A new chapter on elementary probability theory. An expanded the set of solved problems and additional exercises. Answers to all exercises. This book is a comprehensive self-contained and unified treatment of the main theory and application of mathematical methods behind modern-day financial mathematics. | Financial Mathematics A Comprehensive Treatment in Discrete Time

GBP 89.99

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The Navier-Stokes Problem in the 21st Century

Praise for the first edition “The author is an outstanding expert in harmonic analysis who has made important contributions. The book contains rigorous proofs of a number of the latest results in the field. I strongly recommend the book to postgraduate students and researchers working on challenging problems of harmonic analysis and mathematical theory of Navier-Stokes equations. —Gregory Seregin St Hildas College Oxford University “This is a great book on the mathematical aspects of the fundamental equations of hydrodynamics the incompressible Navier-Stokes equations. It covers many important topics and recent results and gives the reader a very good idea about where the theory stands at present. ”—Vladimir Sverak University of Minnesota The complete resolution of the Navier–Stokes equation—one of the Clay Millennium Prize Problems—remains an important open challenge in partial differential equations (PDEs) research despite substantial studies on turbulence and three-dimensional fluids. The Navier–Stokes Problem in the 21st Century Second Edition continues to provide a self-contained guide to the role of harmonic analysis in the PDEs of fluid mechanics now revised to include fresh examples theorems results and references that have become relevant since the first edition published in 2016. | The Navier-Stokes Problem in the 21st Century

GBP 99.99

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Deep and Shallow Machine Learning in Music and Audio

Providing an essential and unique bridge between the theories of signal processing machine learning and artificial intelligence (AI) in music this book provides a holistic overview of foundational ideas in music from the physical and mathematical properties of sound to symbolic representations. Combining signals and language models in one place this book explores how sound may be represented and manipulated by computer systems and how our devices may come to recognize particular sonic patterns as musically meaningful or creative through the lens of information theory. Introducing popular fundamental ideas in AI at a comfortable pace more complex discussions around implementations and implications in musical creativity are gradually incorporated as the book progresses. Each chapter is accompanied by guided programming activities designed to familiarize readers with practical implications of discussed theory without the frustrations of free-form coding. Surveying state-of-the art methods in applications of deep neural networks to audio and sound computing as well as offering a research perspective that suggests future challenges in music and AI research this book appeals to both students of AI and music as well as industry professionals in the fields of machine learning music and AI. | Deep and Shallow Machine Learning in Music and Audio

GBP 44.99

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An Introduction to Optimization with Applications in Machine Learning and Data Analytics

The primary goal of this text is a practical one. Equipping students with enough knowledge and creating an independent research platform the author strives to prepare students for professional careers. Providing students with a marketable skill set requires topics from many areas of optimization. The initial goal of this text is to develop a marketable skill set for mathematics majors as well as for students of engineering computer science economics statistics and business. Optimization reaches into many different fields. This text provides a balance where one is needed. Mathematics optimization books are often too heavy on theory without enough applications; texts aimed at business students are often strong on applications but weak on math. The book represents an attempt at overcoming this imbalance for all students taking such a course. The book contains many practical applications but also explains the mathematics behind the techniques including stating definitions and proving theorems. Optimization techniques are at the heart of the first spam filters are used in self-driving cars play a great role in machine learning and can be used in such places as determining a batting order in a Major League Baseball game. Additionally optimization has seemingly limitless other applications in business and industry. In short knowledge of this subject offers an individual both a very marketable skill set for a wealth of jobs as well as useful tools for research in many academic disciplines. Many of the problems rely on using a computer. Microsoft’s Excel is most often used as this is common in business but Python and other languages are considered. The consideration of other programming languages permits experienced mathematics and engineering students to use MATLAB® or Mathematica and the computer science students to write their own programs in Java or Python. | An Introduction to Optimization with Applications in Machine Learning and Data Analytics

GBP 82.99

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An Introduction to Excel VBA Programming with Applications in Finance and Insurance

Excel Visual Basic for Applications (VBA) can be used to automate operations in Excel and is one of the most frequently used software programs for manipulating data and building models in banks and insurance companies. An Introduction to Excel VBA Programming: with Applications in Finance and Insurance introduces readers to the basic fundamentals of VBA Programming while demonstrating applications of VBA to solve real-world problems in finance and insurance. Assuming no prior programming experience and with reproducible examples using code and data this text is suitable for advanced undergraduate students graduate students actuaries and financial analysts who wish to learn VBA. Features: Presents the theory behind the algorithms in detail Includes more than 100 exercises with selected solutions Provides VBA code in Excel files and data to reproduce the results in the book Offers a solutions manual for qualified instructors | An Introduction to Excel VBA Programming with Applications in Finance and Insurance

GBP 44.99

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Intelligent Systems in Healthcare and Disease Identification using Data Science

The health technology has become a hot topic in academic research. It employs the theory of social networks into the different levels of the prediction and analysis and has brought new possibilities for the development of technology. This book is a descriptive summary of challenges and methods using disease identification with various case studies from diverse authors across the globe. One of the new buzzwords in healthcare sector that has become popular over years is health informatics. Healthcare professionals must deal with an increasing number of computers and computer programs in their daily work. With rapid growth of digital data the role of analytics in healthcare has created a significant impact on healthcare professional’s life. Improvements in storage data computational power and paral- lelization has also contributed to uptake this technology. This book is intended for use by researchers health informatics professionals academicians and undergraduate and postgraduate students interested in knowing more about health informatics. It aims to provide a brief overview about informatics its history and area of practice laws in health informatics challenges and technologies in health informatics applica- tion of informatics in various sectors and so on. Finally the research avenues in health informatics along with some case studies are discussed. | Intelligent Systems in Healthcare and Disease Identification using Data Science

GBP 84.99

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Constrained Optimization In The Calculus Of Variations and Optimal Control Theory

The major purpose of this book is to present the theoretical ideas and the analytical and numerical methods to enable the reader to understand and efficiently solve these important optimizational problems. The first half of this book should serve as the major component of a classical one or two semester course in the calculus of variations and optimal control theory. The second half of the book will describe the current research of the authors which is directed to solving these problems numerically. In particular we present new reformulations of constrained problems which leads to unconstrained problems in the calculus of variations and new general accurate and efficient numerical methods to solve the reformulated problems. We believe that these new methods will allow the reader to solve important problems. | Constrained Optimization In The Calculus Of Variations and Optimal Control Theory

GBP 180.00

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Financial Mathematics A Comprehensive Treatment in Continuous Time Volume II

The book has been tested and refined through years of classroom teaching experience. With an abundance of examples problems and fully worked out solutions the text introduces the financial theory and relevant mathematical methods in a mathematically rigorous yet engaging way. This textbook provides complete coverage of continuous-time financial models that form the cornerstones of financial derivative pricing theory. Unlike similar texts in the field this one presents multiple problem-solving approaches linking related comprehensive techniques for pricing different types of financial derivatives. Key features: In-depth coverage of continuous-time theory and methodology Numerous fully worked out examples and exercises in every chapter Mathematically rigorous and consistent yet bridging various basic and more advanced concepts Judicious balance of financial theory and mathematical methods Guide to Material This revision contains: Almost 150 pages worth of new material in all chapters A appendix on probability theory An expanded set of solved problems and additional exercises Answers to all exercises This book is a comprehensive self-contained and unified treatment of the main theory and application of mathematical methods behind modern-day financial mathematics. The text complements Financial Mathematics: A Comprehensive Treatment in Discrete Time by the same authors also published by CRC Press. | Financial Mathematics A Comprehensive Treatment in Continuous Time Volume II

GBP 84.99

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Correspondence Analysis in Practice

Drawing on the author’s 45 years of experience in multivariate analysis Correspondence Analysis in Practice Third Edition shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants subset CA multiple CA and joint CA translate two-way and multi-way tables into more readable graphical forms — ideal for applications in the social environmental and health sciences as well as marketing economics linguistics archaeology and more. Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra Barcelona Spain where he teaches a course amongst others on Data Visualization. He has authored and co-edited nine books and 80 journal articles and book chapters mostly on correspondence analysis the latest being Visualization and Verbalization of Data in 2015. He has given short courses in fifteen countries to environmental scientists sociologists data scientists and marketing professionals and has specialized in statistics in ecology and social science.

GBP 48.99

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AI in and for Africa A Humanistic Perspective

AI in and for Africa: A Humanistic Perspective explores the convoluted intersection of artificial intelligence (AI) with Africa’s unique socio-economic realities. This book is the first of its kind to provide a comprehensive overview of how AI is currently being deployed on the African continent. Given the existence of significant disparities in Africa related to gender race labour and power the book argues that the continent requires different AI solutions to its problems ones that are not founded on technological determinism or exclusively on the adoption of Eurocentric or Western-centric worldviews. It embraces a decolonial approach to exploring and addressing issues such as AI’s diversity crisis the absence of ethical policies around AI that are tailor-made for Africa the ever-widening digital divide and the ongoing practice of dismissing African knowledge systems in the contexts of AI research and education. Although the book suggests a number of humanistic strategies with the goal of ensuring that Africa does not appropriate AI in a manner that is skewed in favour of a privileged few it does not support the notion that the continent should simply opt for a one-size-fits-all solution either. Rather in light of Africa’s rich diversity the book embraces the need for plurality within different regions’ AI ecosystems. The book advocates that Africa-inclusive AI policies incorporate a relational ethics of care which explicitly addresses how Africa’s unique landscape is entwined in an AI ecosystem. The book also works to provide actionable AI tenets that can be incorporated into policy documents that suit Africa’s needs. This book will be of great interest to researchers students and readers who wish to critically appraise the different facets of AI in the context of Africa across many areas that run the gamut from education gender studies and linguistics to agriculture data science and economics. This book is of special appeal to scholars in disciplines including anthropology computer science philosophy and sociology to name a few. | AI in and for Africa A Humanistic Perspective

GBP 69.99

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Sample Size Calculations in Clinical Research

Praise for the Second Edition:… this is a useful comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study. BiometricsThis impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative binary and time-to-event outcomes are covered comprehensively with separate sample size formulae for testing equality non-inferiority and equivalence. Many less familiar topics are also covered … – Journal of the Royal Statistical SocietySample Size Calculations in Clinical Research Third Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. A comprehensive and unified presentation of statistical concepts and practical applications this book includes a well-balanced summary of current and emerging clinical issues regulatory requirements and recently developed statistical methodologies for sample size calculation. Features:Compares the relative merits and disadvantages of statistical methods for sample size calculationsExplains how the formulae and procedures for sample size calculations can be used in a variety of clinical research and development stagesPresents real-world examples from several therapeutic areas including cardiovascular medicine the central nervous system anti-infective medicine oncology and women’s healthProvides sample size calculations for dose response studies microarray studies and Bayesian approachesThis new edition is updated throughout includes many new sections and five new chapters on emerging topics: two stage seamless adaptive designs cluster randomized trial design zero-inflated Poisson distribution clinical trials with extremely low incidence rates and clinical trial simulation.

GBP 38.99

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A First Course in Machine Learning

A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings and goes all the way to the frontiers of the subject such as infinite mixture models GPs and MCMC. —Devdatt Dubhashi Professor Department of Computer Science and Engineering Chalmers University Sweden This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade. —Daniel Barbara George Mason University Fairfax Virginia USA The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling inference and prediction providing ‘just in time’ the essential background on linear algebra calculus and probability theory that the reader needs to understand these concepts. —Daniel Ortiz-Arroyo Associate Professor Aalborg University Esbjerg Denmark I was impressed by how closely the material aligns with the needs of an introductory course on machine learning which is its greatest strength…Overall this is a pragmatic and helpful book which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months. —David Clifton University of Oxford UK The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process MCMC and mixture modeling provide an ideal basis for practical projects without disturbing the very clear and readable exposition of the basics contained in the first part of the book. —Gavin Cawley Senior Lecturer School of Computing Sciences University of East Anglia UK This book could be used for junior/senior undergraduate students or first-year graduate students as well as individuals who want to explore the field of machine learning…The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective. —Guangzhi Qu Oakland University Rochester Michigan USA

GBP 39.99

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Machine Learning in Signal Processing Applications Challenges and the Road Ahead

Machine Learning in Signal Processing: Applications Challenges and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML as the driving force of the wave of artificial intelligence (AI) provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students post-graduate students research scholars faculties and academicians of computer science and engineering computer science and applications and electronics and telecommunication engineering. | Machine Learning in Signal Processing Applications Challenges and the Road Ahead

GBP 150.00

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