Computational Statistics

Per Page:

The Essentials of Data Science: Knowledge Discovery Using R

Graham J. Williams
July 21, 2017

The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from...

Handbook of Regression Methods

Derek Scott Young
July 07, 2017

Handbook of Regression Methods concisely covers numerous traditional, contemporary, and nonstandard regression methods. The handbook provides a broad overview of regression models, diagnostic procedures, and inference procedures, with emphasis on how these methods are applied. The organization of...

Nonparametric Statistical Tests: A Computational Approach

Markus Neuhauser
June 30, 2017

Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs, allowing readers to carry out the different statistical...

An R Companion to Linear Statistical Models

Christopher Hay-Jahans
June 30, 2017

Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on...

Applied Survey Data Analysis, Second Edition

Steven G. Heeringa, Brady T. West, Patricia A. Berglund
June 27, 2017

Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on...

Statistical Simulation: Power Method Polynomials and Other Transformations

Todd C. Headrick
June 14, 2017

Although power method polynomials based on the standard normal distributions have been used in many different contexts for the past 30 years, it was not until recently that the probability density function (pdf) and cumulative distribution function (cdf) were derived and made available. Focusing on...

Simultaneous Inference in Regression

Wei Liu
June 13, 2017

Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods of parameter estimation and hypothesis testing. Simultaneous Inference in Regression provides a thorough overview of the construction methods and applications of...

Computational Methods for Numerical Analysis with R

James P Howard, II
June 08, 2017

Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code....

Data Analysis Using Hierarchical Generalized Linear Models with R

Youngjo Lee, Lars Ronnegard, Maengseok Noh
June 07, 2017

Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the...

Introduction to Data Technologies

Paul Murrell
May 31, 2017

Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education. With a focus on...

Generalized Additive Models: An Introduction with R, Second Edition

Simon N. Wood
May 30, 2017

The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, providing the necessary...

Logistic Regression Models

Joseph M. Hilbe
May 25, 2017

Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The...