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Statistical Theory & Methods Books

You are currently browsing 1–10 of 501 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. Introduction to High-Dimensional Statistics

    By Christophe Giraud

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

    Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing...

    Published December 22nd 2014 by Chapman and Hall/CRC

  2. Bayesian Methods

    A Social and Behavioral Sciences Approach, Third Edition

    By Jeff Gill

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third...

    Published December 18th 2014 by Chapman and Hall/CRC

  3. Quantitative Evaluation of Safety in Drug Development

    Design, Analysis and Reporting

    Edited by Qi Jiang, H. Amy Xia

    Series: Chapman & Hall/CRC Biostatistics Series

    State-of-the-Art Methods for Drug Safety Assessment Responding to the increased scrutiny of drug safety in recent years, Quantitative Evaluation of Safety in Drug Development: Design, Analysis and Reporting explains design, monitoring, analysis, and reporting issues for both clinical trials and...

    Published December 17th 2014 by Chapman and Hall/CRC

  4. Generalized Structured Component Analysis

    A Component-Based Approach to Structural Equation Modeling

    By Heungsun Hwang, Yoshio Takane

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    Developed by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least squares path modeling. Generalized structured component analysis allows researchers to evaluate the...

    Published December 15th 2014 by Chapman and Hall/CRC

  5. Inference Principles for Biostatisticians

    By Ian C. Marschner

    Series: Chapman & Hall/CRC Biostatistics Series

    Designed for students training to become biostatisticians as well as practicing biostatisticians, Inference Principles for Biostatisticians presents the theoretical and conceptual foundations of biostatistics. It covers the theoretical underpinnings essential to understanding subsequent core...

    Published December 9th 2014 by Chapman and Hall/CRC

  6. Modelling Survival Data in Medical Research, Third Edition

    By David Collett

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Modelling Survival Data in Medical Research describes the modelling approach to the analysis of survival data using a wide range of examples from biomedical research. Well known for its nontechnical style, this third edition contains new chapters on frailty models and their applications, competing...

    Published December 3rd 2014 by Chapman and Hall/CRC

  7. 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

  8. 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

  9. 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

  10. 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