Textbook
Wolfe, D., Schneider, G. (2020)
This book is specially designed to refresh and elevate the level of understanding of the foundational background in probability and distributional theory required to be successful …
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Book
Imaizumi, T. (Ed), Okada, A. (Ed), Miyamoto, S. (Ed), Sakaori, F. (Ed), Yamamoto, Y. (Ed), Vichi, M. (Ed) (2020)
This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.g. …
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Softcover
eBook
Book
Vallejos, R., Osorio, F., Bevilacqua, M. (2020)
This book offers essential, systematic information on the assessment of the spatial association between two processes from a statistical standpoint. Divided into eight chapters, …
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Hardcover
eBook
Book
Treder, M. (2020)
There is no denying that the 21st century is data driven, with many digital industries relying on careful collection and analysis of mass volumes of information. A Chief Data …
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Softcover
eBook
Book
Holgersson, T. (Ed), Singull, M. (Ed) (2020)
This volume is a tribute to Professor Dietrich von Rosen on the occasion of his 65th birthday. It contains a collection of twenty original papers. The contents of the papers …
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Hardcover
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Textbook
Mathar, R., Alirezaei, G., Balda, E., Behboodi, A. (2020)
This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality …
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Hardcover
eBook
Book
Genuer, R., Poggi, J. (2020)
This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive …
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Book with w. online files/update
eBook
Book
Giordani, P., Ferraro, M. B., Martella, F. (2020)
The purpose of this book is to thoroughly prepare the reader for applied research in clustering. Cluster analysis comprises a class of statistical techniques for classifying …
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Hardcover
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Book
Nandi, S., Kundu, D. (2020)
This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the statistical and computational methods involved. …
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Hardcover
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Book
Stemmler, M. (2020)
This book offers a comprehensible overview of the statistical approach called the person-centered method. Instead of analyzing means, variances and covariances of scale scores as …
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Softcover
eBook
Book
Oneto, L. (2020)
How can we select the best performing data-driven model? How can we rigorously estimate its generalization error? Statistical learning theory answers these questions by deriving …
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Softcover
Hardcover
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Textbook
Zamora Saiz, A., Quesada González, C., Hurtado Gil, L., Mondéjar Ruiz, D. (2020)
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming …
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Softcover
eBook
Textbook
Verma, J. P., Verma, P. (2020)
This book addresses sample size and power in the context of research, offering valuable insights for graduate and doctoral students as well as researchers in any discipline where …
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Hardcover
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Book
Maciak, M. (Ed), Pešta, M. (Ed), Schindler, M. (Ed) (2020)
This book collects peer-reviewed contributions on modern statistical methods and topics, stemming from the third workshop on Analytical Methods in Statistics, AMISTAT 2019, held …
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Book
Yamato, H. (2020)
This book focuses on the properties associated with the Dirichlet process, describing its use a priori for nonparametric inference and the Bayes estimate to obtain limits for the …
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Softcover
eBook
Book
Rosenbaum, P. R. (2020)
This second edition of Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that …
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Hardcover
eBook
Textbook
Kulik, R., Soulier, P. (2020)
This book aims to present a comprehensive, self-contained, and concise overview of extreme value theory for time series, incorporating the latest research trends alongside …
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Hardcover
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Book
Westfall, J. (2020)
Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing many examples and projects, this book …
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Softcover
eBook
Textbook
Berk, R. A. (2020)
This textbook considers statistical learning applications when interest centers on the conditional distribution of a response variable, given a set of predictors, and in the …
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Hardcover
eBook
Book
Fujikoshi, Y., Ulyanov, V. V. (2020)
This book presents recent non-asymptotic results for approximations in multivariate statistical analysis. The book is unique in its focus on results with the correct error …
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Softcover
eBook