Computational Statistics

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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 founda...

Introduction to Web Mapping

1st Edition

Michael Dorman
February 14, 2020

A web map is an interactive display of geographic information, in the form of a web page, that you can use to tell stories and answer questions. Web maps have numerous advantages over traditional mapping techniques, such as the ability to display up-to-date or even real-time information, easy...

Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences

1st Edition

Robert B. Gramacy
January 08, 2020

Surrogates: a graduate textbook, or professional handbook, on topics at the interface between machine learning, spatial statistics, computer simulation, meta-modeling (i.e., emulation), design of experiments, and optimization. Experimentation through simulation, "human out-of-the-loop" statistical...

Probability and Bayesian Modeling

1st Edition

Jim Albert, Jingchen Hu
December 18, 2019

Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and...

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

1st Edition

Chester Ismay, Albert Y. Kim
December 13, 2019

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for...

Angular Statistics

1st Edition

A V Dattatreya Rao, S V S Girija
December 09, 2019

Directional data arise in the form of circular / semicircular / axial, symmetric / asymmetric, uni / bimodal data, in practical situations of varied fields. For the purpose of modeling such kind of data sets, the data scientists found that existing models as inadequate. As there is paucity of...

Statistical Programming in SAS

2nd Edition

A. John Bailer
December 09, 2019

Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40 years. The author includes motivating examples to inspire readers to generate programming...

Computer Intensive Methods in Statistics

1st Edition

Silvelyn Zwanzig, Behrang Mahjani
December 02, 2019

This textbook gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including random number generators, Monte Carlo methods, Markov Chain Monte Carlo (MCMC) methods, Bootstrap, EM algorithms, SIMEX, variable selection, density...

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 11, 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...