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Statistics & Computing Books

You are currently browsing 131–140 of 164 new and published books in the subject of Statistics & Computing — sorted by publish date from newer books to older books.

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New and Published Books – Page 14

  1. Robust Statistical Methods with R

    By Jana Jureckova, Jan Picek

    Robust statistical methods were developed to supplement the classical procedures when the data violate classical assumptions. They are ideally suited to applied research across a broad spectrum of study, yet most books on the subject are narrowly focused, overly theoretical, or simply outdated....

    Published November 28th 2005 by Chapman and Hall/CRC

  2. Regression Models for Categorical Dependent Variables Using Stata, Second Edition

    By J. Scott Long, Jeremy Freese

    Although regression models for categorical dependent variables are common, few texts explain how to interpret such models. Regression Models for Categorical Dependent Variables Using Stata, Second Edition, fills this void, showing how to fit and interpret regression models for categorical data with...

    Published November 14th 2005 by Stata Press

  3. Design and Modeling for Computer Experiments

    By Kai-Tai Fang, Runze Li, Agus Sudjianto

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

    Computer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires careful interrogation of the model through systematic computer experiments. While specific...

    Published October 13th 2005 by Chapman and Hall/CRC

  4. Correspondence Analysis and Data Coding with Java and R

    By Fionn Murtagh

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

    Developed by Jean-Paul Benzérci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of...

    Published May 25th 2005 by Chapman and Hall/CRC

  5. Sharpening Your SAS Skills

    By Sunil Gupta, Curt Edmonds

    Learn how to read, understand, and write better SAS programs¨ Understand the key differences between similar SAS syntax and programming approaches¨ Save time in writing SAS code with organized summaries of important facts¨ Improve your trouble-shooting skills in common programming and data related...

    Published April 28th 2005 by Chapman and Hall/CRC

  6. Gaussian Markov Random Fields

    Theory and Applications

    By Havard Rue, Leonhard Held

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

    Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works are available. This is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the...

    Published February 17th 2005 by Chapman and Hall/CRC

  7. Data Analysis of Asymmetric Structures

    Advanced Approaches in Computational Statistics

    By Takayuki Saito, Hiroshi Yadohisa

    Series: Statistics: A Series of Textbooks and Monographs

    Data Analysis of Asymmetric Structures provides a comprehensive presentation of a variety of models and theories for the analysis of asymmetry and its applications and provides a wealth of new approaches in every section. It meets both the practical and theoretical needs of research professionals...

    Published December 27th 2004 by CRC Press

  8. Using R for Introductory Statistics

    By John Verzani

    Series: Chapman & Hall/CRC The R Series

    The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its...

    Published November 28th 2004 by Chapman and Hall/CRC

  9. Linear Models with R

    By Julian J. Faraway

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Books on regression and the analysis of variance abound—many are introductory, many are theoretical. While most of them do serve a purpose, the fact remains that data analysis cannot be properly learned without actually doing it, and this means using a statistical software package. There are many...

    Published August 11th 2004 by Chapman and Hall/CRC

  10. A Handbook of Statistical Analyses Using SPSS

    By Sabine Landau, Brian S. Everitt

    A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of univariate and multivariate statistical analyses using the latest version of the Statistical Package for the Social Sciences, SPSS 11. Each chapter addresses a different type of analytical procedure applied to...

    Published November 23rd 2003 by Chapman and Hall/CRC