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Solvency Models Assessment and Regulation

Smart City Blueprint Policy Community Futures

Smart City Blueprint Policy Community Futures

The smart city movement during the last decade and a half advocated the built environment and digital technology convergence with the backing of institutional capital and government support. The commitment of a significant number of local governments across the globe in terms of official smart city policies and initiatives along with the constant push of global technology giants has reinforced the popularity of this movement. This two-volume treatment on smart cities thoroughly explores and sheds light on the prominent elements of the smart city phenomenon and generates a smart city blueprint. The first volume with its 12 chapters provides a sound understanding on the key foundations and growth directions of smart city frameworks technologies and platforms with theoretical expansions practical implications and real-world case study lessons. The second companion volume offers sophisticated perspectives on the key foundations and directions of smart city policies communities and urban futures with theoretical expansions practical implications and real-world case study lessons. These volumes offer an invaluable reference source for urban policymakers managers planners practitioners and many others particularly to benefit from it when tackling key urban and societal issues and planning for and delivering smart city solutions. Moreover the book is also a rich and important repository for scholars and research and undergraduate students. | Smart City Blueprint Policy Community Futures

GBP 44.99
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Meaningful Futures with Robots Designing a New Coexistence

Meaningful Futures with Robots Designing a New Coexistence

Soon robots will leave the factories and make their way into living rooms supermarkets and care facilities. They will cooperate with humans in everyday life taking on more than just practical tasks. How should they communicate with us? Do they need eyes a screen or arms? Should they resemble humans? Or may they enrich social situations precisely because they act so differently from humans? Meaningful Futures with Robots: Designing a New Coexistence provides insight into the opportunities and risks that arise from living with robots in the future anchored in current research projects on everyday robotics. As well as generating ideas for robot developers and designers it also critically discusses existing theories and methods for social robotics from different perspectives - ethical design artistical and technological – and presents new approaches to meaningful human-robot interaction design. Key Features: Provides insights into current research on robots from different disciplinary angles with a particular focus on a value-driven design. Includes contributions from designers psychologists engineers philosophers artists and legal scholars among others. Licence line: Chapters 1 3 12 and 15 of this book are available for free in PDF format as Open Access from the individual product page at www. crcpress. com. They have been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4. 0 license. | Meaningful Futures with Robots Designing a New Coexistence

GBP 44.99
1

Smart City Blueprint Framework Technology Platform

Smart City Blueprint Framework Technology Platform

The smart city movement during the last decade and a half advocated the built environment and digital technology convergence with the backing of institutional capital and government support. The commitment of a significant number of local governments across the globe in terms of official smart city policies and initiatives along with the constant push of global technology giants has reinforced the popularity of this movement. This two-volume treatment on smart cities thoroughly explores and sheds light on the prominent elements of the smart city phenomenon and generates a smart city blueprint. This first volume with its 12 chapters provides a sound understanding on the key foundations and growth directions of smart city frameworks technologies and platforms with theoretical expansions practical implications and real-world case study lessons. The second companion volume offers sophisticated perspectives on the key foundations and directions of smart city policies communities and urban futures with theoretical expansions practical implications and real-world case study lessons. This book is an invaluable reference source for urban policymakers managers planners practitioners and many others particularly to benefit from it when tackling key urban and societal issues and planning for and delivering smart city solutions. Moreover the book is also a rich and important repository for scholars and research and undergraduate students as it communicates the complex smart city phenomenon in an easy to digest form by providing both the big picture view and specifics of each component of that view. It also appeals to local government agencies and smart city practitioners. | Smart City Blueprint Framework Technology Platform

GBP 44.99
1

Time Series A First Course with Bootstrap Starter

Time Series A First Course with Bootstrap Starter

Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych of (i) mathematical completeness (ii) computational illustration and implementation and (iii) conciseness and accessibility to upper-level undergraduate and M. S. students. Basic theoretical results are presented in a mathematically convincing way and the methods of data analysis are developed through examples and exercises parsed in R. A student with a basic course in mathematical statistics will learn both how to analyze time series and how to interpret the results. The book provides the foundation of time series methods including linear filters and a geometric approach to prediction. The important paradigm of ARMA models is studied in-depth as well as frequency domain methods. Entropy and other information theoretic notions are introduced with applications to time series modeling. The second half of the book focuses on statistical inference the fitting of time series models as well as computational facets of forecasting. Many time series of interest are nonlinear in which case classical inference methods can fail but bootstrap methods may come to the rescue. Distinctive features of the book are the emphasis on geometric notions and the frequency domain the discussion of entropy maximization and a thorough treatment of recent computer-intensive methods for time series such as subsampling and the bootstrap. There are more than 600 exercises half of which involve R coding and/or data analysis. Supplements include a website with 12 key data sets and all R code for the book's examples as well as the solutions to exercises. | Time Series A First Course with Bootstrap Starter

GBP 38.99
1

A First Course in Linear Model Theory

A First Course in Linear Model Theory

Thoroughly updated throughout A First Course in Linear Model Theory Second Edition is an intermediate-level statistics text that fills an important gap by presenting the theory of linear statistical models at a level appropriate for senior undergraduate or first-year graduate students. With an innovative approach the authors introduce to students the mathematical and statistical concepts and tools that form a foundation for studying the theory and applications of both univariate and multivariate linear models. In addition to adding R functionality this second edition features three new chapters and several sections on new topics that are extremely relevant to the current research in statistical methodology. Revised or expanded topics include linear fixed random and mixed effects models generalized linear models Bayesian and hierarchical linear models model selection multiple comparisons and regularized and robust regression. New to the Second Edition: Coverage of inference for linear models has been expanded into two chapters. Expanded coverage of multiple comparisons random and mixed effects models model selection and missing data. A new chapter on generalized linear models (Chapter 12). A new section on multivariate linear models in Chapter 13 and expanded coverage of the Bayesian linear models and longitudinal models. A new section on regularized regression in Chapter 14. Detailed data illustrations using R. The authors' fresh approach methodical presentation wealth of examples use of R and introduction to topics beyond the classical theory set this book apart from other texts on linear models. It forms a refreshing and invaluable first step in students' study of advanced linear models generalized linear models nonlinear models and dynamic models.

GBP 82.99
1

Statistical Approaches in Oncology Clinical Development Current Paradigm and Methodological Advancement

Statistical Approaches in Oncology Clinical Development Current Paradigm and Methodological Advancement

Statistical Approaches in Oncology Clinical Development : Current Paradigm and Methodological Advancement presents an overview of statistical considerations in oncology clinical trials both early and late phase of development. It illustrates how novel statistical methods can enrich the design and analysis of modern oncology trials. The authors include many relevant real life examples from the pharmaceutical industry and academia based on their first-hand experience. Along with relevant references the book highlights current regulatory views. The book covers all aspects of cancer clinical trial starting from early phase development. The early part of the book covers novel phase I dose escalation design exposure response analysis and innovative phase II design. This includes early development strategy for cancer immunotherapy trials. The contributors also emphasized the role of biomarker and modern era of precision medicine. The second part focuses on the late stage development. This includes the application of adaptive design safety analysis and quality of life (QoL) data analysis. The final part discusses current regulatory perspective and challenges. Features:Covers a wide spectrum of topics related to real-life statistical challenges in oncology clinical trials. Provides a comprehensive overview of novel statistical methods to improve trial design and statistical analysis. Detailed case studies illustrate the real life applications. Satrajit Roychoudhury is a Senior Director and a member of the Statistical Research and Innovation group in Pfizer Inc. Prior to joining; he was a member of Statistical Methodology and consulting group in Novartis. He has 11 years of extensive experience in working with different phases of clinical trial. His area of research includes early phase oncology trials survival analysis model informed drug development and use of Bayesian methods in clinical trials. He is industry co-chair for the ASA Biopharmaceutical Section Regulatory-Industry Workshop and has provided statistical training in major conferences including the Joint Statistical Meetings ASA Biopharmaceutical Section Regulatory-Industry Workshop and ICSA Applied Statistics Symposium. Soumi Lahiri has 12 years of extensive experience in working different therapeutic areas. She is the former Director of Biostatistics in Clinical Oncology GlaxoSmithKline. She has also worked in the oncology division of Novartis Pharmaceutical Company for two years. She is an active member of the ASA Biopharmaceutical section and former chair of the membership committee. | Statistical Approaches in Oncology Clinical Development Current Paradigm and Methodological Advancement

GBP 51.99
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