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Statistical Computing Environments for Social Research

Statistical Computing Environments for Social Research

          
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About the Book

The nature of statistics has changed from classical notions of hypothesis testing toward graphical and exploratory data analysis that exploits the flexibility of interactive computing and graphical displays. With contributions from some of the leading researchers in the social sciences and statistics, Statistical Computing Environments for Social Research describes seven statistical computing environments--APL2STAT, GAUSS, Lisp-Stat, Mathematica, S, SAS/IML, and Stata--that can be used effectively in graphical and exploratory modeling. These statistical computing environments, in contrast to a standard statistical package, provide programming tools for building other statistical applications. Programmability, flexible data structures, and--in the case of some of the computing environments--graphical interfaces and object-oriented programming permit researchers to take advantage of emerging statistical methodologies. Three additional chapters, describing the Axis, R-code, and ViSta statistical packages, demonstrate how researchers have extended one of the computing environments--Lisp-Stat--to produce significant statistical applications employing graphical interfaces to statistical software. To illustrate the capabilities of the seven statistical computing environments, each contributor uses the same data set to perform three computing tasks: robust regression, bootstrap resampling, and kernel-density estimation. The same data are analyzed in the chapters on Axis, R-code, and ViSta packages. The chapters in Statistical Computing Environments for Social Research illustrate important ideas and techniques in modern data analysis and statistical computing, ideas and techniques that readers will be able to apply in the more effective analysis of their own data.

Table of Contents:
Editors′ Introduction - Robert Stine and John Fox PART ONE: COMPUTING ENVIRONMENTS Data Analysis Using APL2 and APL2STAT - John Fox and Michael Friendly Data Analysis Using GAUSS and Markov - J Scott Long and Brian Noss Data Analysis Using Lisp-Stat - Luke Tierney Data Analysis Using Mathematica - Robert Stine Data Analysis Using SAS - Charles Hallahan Data Analysis Using Stata - Lawrence C Hamilton and Joseph M Hilbe Data Analysis Using S-Plus - Daniel A Schulman, Alec D Campbell, and Eric C Kostello PART TWO: EXTENDING LISP-STAT AXIS - Robert Stine An Extensible Graphical User Interface for Statistics The R-Code - Sanford Weisberg A Graphical Paradigm for Regression Analysis ViSta - Forrest W Young and Carla M Bann A Visual Statistics System


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Product Details
  • ISBN-13: 9780761902706
  • Publisher: SAGE Publications Inc
  • Publisher Imprint: SAGE Publications Inc
  • Height: 228 mm
  • No of Pages: 256
  • Series Title: English
  • Weight: 399 gr
  • ISBN-10: 0761902708
  • Publisher Date: 21 Oct 1996
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 16 mm
  • Width: 152 mm


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