Skip to Content

Books by Subject

Statistics & Probability Books

You are currently browsing 1–10 of 942 new and published books in the subject of Statistics & Probability — 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. 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 25th 2014 by Chapman and Hall/CRC

  2. Competitive Innovation and Improvement

    Statistical Design and Control

    By Kieron Dey

    Competitive Innovation and Improvement: Statistical Design and Control explains how to combine two widely known statistical methods—statistical design and statistical control—in a manner that can solve any business, government, or research problem quickly with sustained results. Because the...

    Published September 25th 2014 by Productivity Press

  3. Operations Planning

    Mixed Integer Optimization Models

    By Joseph Geunes

    Series: Operations Research Series

    A reference for those working at the interface of operations planning and optimization modeling, Operations Planning: Mixed Integer Optimization Models blends essential theory and powerful approaches to practical operations planning problems. It presents a set of classical optimization models with...

    Published September 18th 2014 by CRC Press

  4. 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 12th 2014 by Chapman and Hall/CRC

  5. Structural Equation Modeling With Lisrel, Prelis, and Simplis

    Basic Concepts, Applications, and Programming

    By Barbara M. Byrne

    Series: Multivariate Applications Series

    This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be implemented in addressing research questions that lend themselves to SEM. Its purpose is threefold: (a) to present a nonmathmatical introduction to basic concepts associated with SEM, (b) to demonstrate basic...

    Published September 11th 2014 by Psychology Press

  6. 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 10th 2014 by Stata Press

  7. 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 3rd 2014 by Chapman and Hall/CRC

  8. 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 2nd 2014 by Chapman and Hall/CRC

  9. Sequential Analysis

    Hypothesis Testing and Changepoint Detection

    By Alexander Tartakovsky, Igor Nikiforov, Michele Basseville

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

    Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used efficiently. The book reviews recent...

    Published August 27th 2014 by Chapman and Hall/CRC

  10. Computational Actuarial Science with R

    Edited by Arthur Charpentier

    Series: Chapman & Hall/CRC The R Series

    A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers...

    Published August 26th 2014 by Chapman and Hall/CRC