Statistics

Computational Statistics

Per Page:
Sort:

Probability and Statistics for Computer Scientists, Third Edition

3rd Edition

Featured

Michael Baron
June 14, 2019

Praise for the Second Edition: "The author has done his homework on the statistical tools needed for the particular challenges computer scientists encounter... [He] has taken great care to select examples that are interesting and practical for computer scientists. ... The content is illustrated with...

Multilevel Modeling Using R

2nd Edition

Featured

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley
May 20, 2019

Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how ...

Bayesian Hierarchical Models: With Applications Using R, Second Edition

2nd Edition

Featured

Peter D. Congdon
September 30, 2019

An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. ...

Regression Modeling: Methods, Theory, and Computation with SAS

1st Edition

Michael Panik
October 07, 2019

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs....

Bayesian Hierarchical Models: With Applications Using R, Second Edition

2nd Edition

Peter D. Congdon
September 30, 2019

An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections....

Handbook of Statistical Methods and Analyses in Sports

1st Edition

Jim Albert, Mark E. Glickman, Tim B. Swartz, Ruud H. Koning
September 27, 2019

This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer)...

Statistical Inference: An Integrated Bayesian/Likelihood Approach

1st Edition

Murray Aitkin
September 05, 2019

Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian treatment of parameter inference and model comparisons that can be used with simple diffuse prior specifications. This novel approach provides new solutions to...

Dose-Response Analysis Using R

1st Edition

Christian Ritz, Signe Marie Jensen, Daniel Gerhard, Jens Carl Streibig
July 11, 2019

Nowadays the term dose-response is used in many different contexts and many different scientific disciplines including agriculture, biochemistry, chemistry, environmental sciences, genetics, pharmacology, plant sciences, toxicology, and zoology. In the 1940 and 1950s, dose-response analysis was...

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis

1st Edition

Silvia Bacci, Bruno Chiandotto
July 08, 2019

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in...

Probability and Statistics for Computer Scientists, Third Edition

3rd Edition

Michael Baron
June 14, 2019

Praise for the Second Edition: "The author has done his homework on the statistical tools needed for the particular challenges computer scientists encounter... [He] has taken great care to select examples that are interesting and practical for computer scientists. ... The content is illustrated...

Advanced R, Second Edition

2nd Edition

Hadley Wickham
May 30, 2019

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special. This book will teach you the...

Robust Statistical Methods with R, Second Edition

2nd Edition

Jana Jurečková, Jan Picek, Martin Schindler
May 23, 2019

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. There are many numerical examples and notes on the R environment, and the updated chapter on the multivariate model...

Mixture Modelling for Medical and Health Sciences

1st Edition

Shu Kay Ng, Liming Xiang, Kelvin Kai Wing Yau
May 21, 2019

Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and their applications in real world problems. The book describes the development of the most important concepts through comprehensive analyses of real and practical...

Multilevel Modeling Using R

2nd Edition

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley
May 20, 2019

Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how...

Time Series Clustering and Classification

1st Edition

Elizabeth Ann Maharaj, Pierpaolo D'Urso, Jorge Caiado
April 12, 2019

The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts, statisticians, mathematicians, econometricians, computer scientists and many others. At the root of these techniques are algorithms and methods for clustering and...

Conferences

Year: