Book
Mislevy, R., Haertel, G., Riconscente, M., Wise Rutstein, D., Ziker, C. (2017)
This Springer Brief provides theory, practical guidance, and support tools to help designers create complex, valid assessment tasks for hard-to-measure, yet crucial, science …
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Book
(2017)
The book addresses the problem of calculation of d-dimensional integrals (conditional expectations) in filter problems. It develops new methods of deterministic numerical …
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Book
Ferger, D. (Ed), González Manteiga, W. (Ed), Schmidt, T. (Ed), Wang, J. (Ed) (2017)
This book, dedicated to Winfried Stute on the occasion of his 70th birthday, presents a unique collection of contributions by leading experts in statistics, stochastic processes, …
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Book
Chen, D. (Ed), Lio, Y. (Ed), Ng, H. K. T. (Ed), Tsai, T. (Ed) (2017)
This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in …
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Book
Lauro, N. C. (Ed), Amaturo, E. (Ed), Grassia, M. G. (Ed), Aragona, B. (Ed), Marino, M. (Ed) (2017)
This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social …
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Textbook
Härdle, W. (Ed), Chen, C. Y. (Ed), Overbeck, L. (Ed) (2017)
This volume provides practical solutions and introduces recent theoretical developments in risk management, pricing of credit derivatives, quantification of volatility and copula …
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Textbook
Wolfe, D. A., Schneider, G. (2017)
This textbook is designed to give an engaging introduction to statistics and the art of data analysis. The unique scope includes, but also goes beyond, classical methodology …
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Book
Yi, G. Y. (2017)
This monograph on measurement error and misclassification covers a broad range of problems and emphasizes unique features in modeling and analyzing problems arising from medical …
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Book
Thomopoulos, N. T. (2017)
This unique SpringerBrief presents statistical methods and tables not readily available in other publications. It begins with a review of the commonly used continuous and …
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Book
Haag, G. (2017)
This book presents the theory and practical applications of the Master equation approach, which provides a powerful general framework for model building in a variety of …
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Durstewitz, D. (2017)
This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical …
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Book
Akahira, M. (2017)
This book presents new findings on nonregular statistical estimation. Unlike other books on this topic, its major emphasis is on helping readers understand the meaning and …
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Book
Ay, N., Jost, J., Lê, H. V., Schwachhöfer, L. (2017)
The book provides a comprehensive introduction and a novel mathematical foundation of the field of information geometry with complete proofs and detailed background material on …
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Textbook
Islam, M. A., Chowdhury, R. I. (2017)
This book presents a broad range of statistical techniques to address emerging needs in the field of repeated measures. It also provides a comprehensive overview of extensions of …
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Book
Aljandali, A. (2017)
This is the second of a two-part guide to quantitative analysis using the IBM SPSS Statistics software package; this volume focuses on multivariate statistical methods and …
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Book
Mori, Y., Kuroda, M., Makino, N. (2017)
This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data. In the …
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Book
Palumbo, F. (Ed), Montanari, A. (Ed), Vichi, M. (Ed) (2017)
This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes …
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Book
Ramsay, J., Hooker, G. (2017)
This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on …
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Book
Qin, J. (2017)
This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics parlance) and over-identified parameter estimation problems. Biased sampling …
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Book
van der Ark, L. A. (Ed), Wiberg, M. (Ed), Culpepper, S. A. (Ed), Douglas, J. A. (Ed), Wang, W. (Ed) (2017)
This proceedings volume compiles and expands on selected and peer reviewed presentations given at the 81st Annual Meeting of the Psychometric Society (IMPS), organized by the …
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