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Forthcoming Statistics & Probability Books

You are currently browsing 21–30 of 117 forthcoming new books in the subject of Statistics & Probability — sorted by publish date from upcoming books to future books.

For books that are already published; please browse available books.

Forthcoming Books – Page 3

  1. Factor Analysis

    Classic Second Edition

    By Richard Gorsuch

    Comprehensive and comprehensible, this classic text covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for...

    To Be Published December 1st 2014 by Routledge

  2. Modelling Survival Data in Medical Research, Third Edition

    By David Collett

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Well known for its nontechnical style, this popular survival analysis textbook presents modern statistical techniques for handling survival data. This edition contains new chapters on frailty models and their applications, competing risks, non-proportional hazards, and dependent censoring. It also...

    To Be Published December 4th 2014 by Chapman and Hall/CRC

  3. Design and Analysis of Experiments with R

    By John Lawson

    Series: Chapman & Hall/CRC Texts in Statistical Science

    One of the first texts to use R to illustrate the construction of experimental designs and analysis of data, this book covers both classical ideas in experimental design and the latest research topics. It clearly discusses the objectives of a research project that lead to an appropriate design...

    To Be Published December 4th 2014 by Chapman and Hall/CRC

  4. The Mathematics of Games

    An Introduction to Probability

    By David G. Taylor

    Series: Textbooks in Mathematics

    Using an inquiry-based learning approach, this text introduces the principles of probability through games. It develops students’ mathematical thinking skills through motivating laboratory exercises and historical notes that illustrate gaming strategies. The author introduces the games, such as...

    To Be Published December 8th 2014 by Chapman and Hall/CRC

  5. Inference Principles for Biostaticians

    By Ian C. Marschner

    Series: Chapman & Hall/CRC Biostatistics Series

    Statistical inference is the science of drawing conclusions on the basis of information that is subject to randomness. Biostatistics underpins the use of statistical inference in the health and medical sciences. This classroom-tested book presents the principles of statistical inference from a...

    To Be Published December 9th 2014 by Chapman and Hall/CRC

  6. Mathematics for Economists with Applications

    By Jim Bergin

    This comprehensive textbook provides all the key elements of the mathematical toolkit necessary for students of economics, finance and business from introductory to graduate level. Covering more topics, more economic applications and examples, and more substantial problem sets than previously...

    To Be Published December 11th 2014 by Routledge

  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

    This book introduces the authors’ new component-based approach to structural equation modeling (SEM): generalized structured component analysis (GSCA). The text explains the advantages and limitations of GSCA compared to traditional SEM approaches. It also discusses the relationships between GSCA...

    To Be Published December 14th 2014 by Chapman and Hall/CRC

  8. Bayesian Methods

    A Social and Behavioral Sciences Approach, Third Edition

    By Jeff Gill

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

    This updated, bestselling book continues to be one of the only Bayesian statistics texts designed for social scientists. Incorporating new research and additional material, the third edition presents state-of-the-art guidance on Bayesian statistical computing. It emphasizes Markov chain Monte Carlo...

    To Be Published December 16th 2014 by Chapman and Hall/CRC

  9. Statistics in MATLAB

    A Primer

    By MoonJung Cho, Wendy L. Martinez

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    This primer illustrates the use of MATLAB® for statistical data analysis and research. It describes functions for statistics in the main MATLAB software package, the Statistics Toolbox, and the student version of MATLAB. The capabilities in the MATLAB Statistics Toolbox have increased tremendously...

    To Be Published December 18th 2014 by Chapman and Hall/CRC

  10. 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

    Unlike classical mixture models that are limited by the assumption that each object or individual belongs to only one mixture component, mixed membership models handle various data structures and multivariate data of mixed types, including longitudinal, sparse, and relational data structures. A...

    To Be Published December 22nd 2014 by Chapman and Hall/CRC