Skip to Content

Books by Subject

Statistical Theory & Methods Books

You are currently browsing 1–10 of 502 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. Mathematical Statistics

    Basic Ideas and Selected Topics, Volume I, Second Edition

    By Peter .J. Bickel, Kjell A. Doksum

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition...

    Published February 16th 2015 by Chapman and Hall/CRC

  2. Producing High-Quality Figures Using SAS/GRAPH® and ODS Graphics Procedures

    By Charlie Chunhua Liu

    Create Top-Quality Figures Using SAS Producing High-Quality Figures Using SAS/GRAPH® and ODS Graphics Procedures gives statisticians and SAS programmers practical guidance on presenting research data in high-quality figures that meet the publication requirements of academic institutions and various...

    Published February 5th 2015 by Chapman and Hall/CRC

  3. Statistical Methods in Drug Combination Studies

    Edited by Wei Zhao, Harry Yang

    Series: Chapman & Hall/CRC Biostatistics Series

    The growing interest in using combination drugs to treat various complex diseases has spawned the development of many novel statistical methodologies. The theoretical development, coupled with advances in statistical computing, makes it possible to apply these emerging statistical methods in in...

    Published December 18th 2014 by Chapman and Hall/CRC

  4. Design and Analysis of Experiments with R

    By John Lawson

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used in practice. It connects the objectives of research to the type of experimental design required, describes the process of creating the design and collecting the data,...

    Published December 16th 2014 by Chapman and Hall/CRC

  5. 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 16th 2014 by Chapman and Hall/CRC

  6. 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 10th 2014 by Chapman and Hall/CRC

  7. 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 10th 2014 by Chapman and Hall/CRC

  8. 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 10th 2014 by Chapman and Hall/CRC

  9. 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 7th 2014 by Chapman and Hall/CRC

  10. 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