Statistical Computing Environments for Social Research

1. Auflage 1996
ISBN: 978-0-7619-0269-0
Verlag: Sage Publications, Inc

Buch, Englisch, 256 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 529 g

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.

Autoren/Hrsg.

Stine, Robert

Fox, John

Stine, Robert A.

Fox, John, Jr.

Fachgebiete

• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologie: Allgemeines
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Demographie, Demoskopie

Inhaltsverzeichnis

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

Über Autor(innen)

Fox, John, Jr.
John Fox received a BA from the City College of New York and a PhD from the University of Michigan, both in Sociology. He is Professor Emeritus of Sociology at McMaster University in Hamilton, Ontario, Canada, where he was previously the Senator William McMaster Professor of Social Statistics. Prior to coming to McMaster, he was Professor of Sociology, Professor of Mathematics and Statistics, and Coordinator of the Statistical Consulting Service at York University in Toronto. Professor Fox is the author of many articles and books on applied statistics, including \emph{Applied Regression Analysis and Generalized Linear Models, Third Edition} (Sage, 2016). He is an elected member of the R Foundation, an associate editor of the Journal of Statistical Software, a prior editor of R News and its successor the R Journal, and a prior editor of the Sage Quantitative Applications in the Social Sciences monograph series.