![Primer for Data Analytics and Graduate Study in Statistics]( "Primer for Data Analytics and Graduate Study in Statistics")
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 …
Available Formats:
Hardcover
eBook
![Advanced Studies in Classification and Data Science]( "Advanced Studies in Classification and Data Science")
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. …
Available Formats:
Softcover
eBook
![Spatial Relationships Between Two Georeferenced Variables]( "Spatial Relationships Between Two Georeferenced Variables")
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, …
Available Formats:
Hardcover
eBook
![The Chief Data Officer Management Handbook]( "The Chief Data Officer Management Handbook")
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 …
Available Formats:
Softcover
eBook
![Recent Developments in Multivariate and Random Matrix Analysis]( "Recent Developments in Multivariate and Random Matrix Analysis")
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 …
Available Formats:
Hardcover
eBook
![Fundamentals of Data Analytics]( "Fundamentals of Data Analytics")
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 …
Available Formats:
Hardcover
eBook
![Random Forests with R]( "Random Forests with R")
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 …
Available Formats:
Book with w. online files/update
eBook
![An Introduction to Clustering with R]( "An Introduction to Clustering with R")
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 …
Available Formats:
Hardcover
eBook
![Statistical Signal Processing]( "Statistical Signal Processing")
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. …
Available Formats:
Hardcover
eBook
![Person-Centered Methods]( "Person-Centered Methods")
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 …
Available Formats:
Softcover
eBook
![Model Selection and Error Estimation in a Nutshell]( "Model Selection and Error Estimation in a Nutshell")
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
eBook
![An Introduction to Data Analysis in R]( "An Introduction to Data Analysis in R")
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 …
Available Formats:
Softcover
eBook
![Determining Sample Size and Power in Research Studies]( "Determining Sample Size and Power in Research Studies")
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 …
Available Formats:
Hardcover
eBook
![Analytical Methods in Statistics]( "Analytical Methods in Statistics")
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 …
Available Formats:
Hardcover
eBook
![Statistics Based on Dirichlet Processes and Related Topics]( "Statistics Based on Dirichlet Processes and Related Topics")
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 …
Available Formats:
Softcover
eBook
![Design of Observational Studies]( "Design of Observational Studies")
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 …
Available Formats:
Hardcover
eBook
![Heavy-Tailed Time Series]( "Heavy-Tailed Time Series")
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 …
Available Formats:
Hardcover
eBook
![Practical R 4]( "Practical R 4")
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 …
Available Formats:
Softcover
eBook
![Statistical Learning from a Regression Perspective]( "Statistical Learning from a Regression Perspective")
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 …
Available Formats:
Hardcover
eBook
![Non-Asymptotic Analysis of Approximations for Multivariate Statistics]( "Non-Asymptotic Analysis of Approximations for Multivariate Statistics")
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 …
Available Formats:
Softcover
eBook