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Statistical Theory & Methods Books

You are currently browsing 1–10 of 495 new and published books in the subject of Statistical Theory & Methods — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books

  1. Multiple Factor Analysis by Example Using R

    By Jérôme Pagès

    Series: Chapman & Hall/CRC The R Series

    Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the...

    Published November 19th 2014 by Chapman and Hall/CRC

  2. Handbook of Missing Data Methodology

    By Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical methodology for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data...

    Published November 5th 2014 by Chapman and Hall/CRC

  3. Handbook of Mixed Membership Models and Their Applications

    Edited by Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling...

    Published November 5th 2014 by Chapman and Hall/CRC

  4. Nonparametric Statistical Methods Using R

    By John Kloke, Joseph W. McKean

    Series: Chapman & Hall/CRC The R Series

    A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear...

    Published October 8th 2014 by Chapman and Hall/CRC

  5. Design and Analysis of Cross-Over Trials, Third Edition

    By Byron Jones, Michael G. Kenward

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Design and Analysis of Cross-Over Trials is concerned with a specific kind of comparative trial known as the cross-over trial, in which subjects receive different sequences of treatments. Such trials are widely used in clinical and medical research, and in other diverse areas such as veterinary...

    Published October 7th 2014 by Chapman and Hall/CRC

  6. Advanced R

    By Hadley Wickham

    Series: Chapman & Hall/CRC The R Series

    An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the...

    Published September 24th 2014 by Chapman and Hall/CRC

  7. Hierarchical Modeling and Analysis for Spatial Data, Second Edition

    By Sudipto Banerjee, Bradley P. Carlin, Alan E. Gelfand

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling...

    Published September 11th 2014 by Chapman and Hall/CRC

  8. Regression Models for Categorical Dependent Variables Using Stata, Third Edition

    By J. Scott Long, Jeremy Freese

    Regression Models for Categorical Dependent Variables Using Stata, Third Edition shows how to use Stata to fit and interpret regression models for categorical data. The third edition is a complete rewrite of the book. Factor variables and the margins command changed how the effects of variables can...

    Published September 9th 2014 by Stata Press

  9. Statistical Inference

    An Integrated Approach, Second Edition

    By Helio S. Migon, Dani Gamerman, Francisco Louzada

    Series: Chapman & Hall/CRC Texts in Statistical Science

    A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on...

    Published September 2nd 2014 by Chapman and Hall/CRC

  10. Robust Cluster Analysis and Variable Selection

    By Gunter Ritter

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Clustering remains a vibrant area of research in statistics. Although there are many books on this topic, there are relatively few that are well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory and applications...

    Published September 1st 2014 by Chapman and Hall/CRC