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Statistics & Probability Books

You are currently browsing 21–30 of 1,014 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 – Page 3

  1. 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 9th 2014 by Chapman and Hall/CRC

  2. Analyzing Sensory Data with R

    By Sebastien Le, Thierry Worch

    Series: Chapman & Hall/CRC The R Series

    Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data. The book helps you find the most appropriate statistical method to tackle your sensory data issue. Covering quantitative, qualitative,...

    Published October 9th 2014 by Chapman and Hall/CRC

  3. 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 8th 2014 by Chapman and Hall/CRC

  4. Machine Learning

    An Algorithmic Perspective, Second Edition

    By Stephen Marsland

    Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition

    A Proven, Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning...

    Published October 8th 2014 by Chapman and Hall/CRC

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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