THE NEW SOCIAL WORKER's Books & More Shop: Books on Research: Statistical Computing Environments for Social Research

Statistical Computing Environments for Social Research
	Creators: Robert A. Stine, John Fox Publisher: Sage Publications, Inc Category: Book Buy New: $109.00 New (7) Used (3) from $75.00 Media: Hardcover Number Of Items: 1 Pages: 256 Shipping Weight (lbs): 1.2 Dimensions (in): 9.1 x 6.2 x 0.9 ISBN: 0761902694 Dewey Decimal Number: 300.285 EAN: 9780761902690 ASIN: 0761902694 Publication Date: September 5, 1996 Availability: Usually ships in 24 hours

Editorial Reviews: Product Description 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.

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