You are currently browsing 71–80 of 149 new and published books in the subject of Statistics & Computing — sorted by publish date from newer books to older books.
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Although power method polynomials based on the standard normal distributions have been used in many different contexts for the past 30 years, it was not until recently that the probability density function (pdf) and cumulative distribution function (cdf) were derived and made available. Focusing on...
Published December 7th 2009 by Chapman and Hall/CRC
Since 2003, the Stata Journal has included Stata Tips on special issues in data analysis with Stata. Seventy-six Stata Tips, 2nd Edition compiles these useful guides into a compact tome for ease of reference. In keeping with the Stata spirit, Tips are from Stata users and StataCorp employees alike...
Published October 28th 2009 by Stata Press
Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers...
Published September 27th 2009 by CRC Press
Series: Textbooks in Mathematics
Updated to conform to Mathematica® 7.0, Introduction to Probability with Mathematica®, Second Edition continues to show students how to easily create simulations from templates and solve problems using Mathematica. It provides a real understanding of probabilistic modeling and the analysis of data...
Published September 20th 2009 by Chapman and Hall/CRC
An All-in-One Resource for Using SAS and R to Carry out Common Tasks Provides a path between languages that is easier than reading complete documentationSAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in both SAS and R,...
Published July 20th 2009 by Chapman and Hall/CRC
Series: Chapman & Hall/CRC Texts in Statistical Science
Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included...
Published June 22nd 2009 by Chapman and Hall/CRC
Series: Chapman & Hall/CRC Texts in Statistical Science
Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The...
Published May 10th 2009 by Chapman and Hall/CRC
Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs....
Published April 29th 2009 by Chapman and Hall/CRC
This collection provides detailed descriptions of both standard and advanced meta-analytic methods and their implementation in Stata. Readers will gain access to the statistical methods behind the rapid increase in the number of meta-analyses reported in the social science and medical literature....
Published March 17th 2009 by Stata Press
This work focuses on three types of Stata programming: do-file programming, ado-file programming, and Mata functions that work in conjunction with do- and ado-files. It explains how to usefully automate work with Stata and how to use Stata more effectively through programming on one or more of...
Published March 17th 2009 by Stata Press
