Modern methods of data analysis
著者
書誌事項
Modern methods of data analysis
Sage Publications, c1990
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注記
Includes bibliographies
内容説明・目次
内容説明
This volume seeks to move the standard of statistical analysis and presentation in the social sciences towards an accurate and sensitive representation of data. This is accomplished by focusing on four themes: an emphasis on graphical data analysis; the use of computers for doing intensive computations; regression analysis; and sampling characteristics of data.
目次
Introduction - John Fox and J Scott Long
Graphical Perception - Ian Spence and Stephan Lewandowsky
Describing Univariate Distributions - John Fox
A Survey of Smoothing Techniques - Colin Goodall
Finding Transformations for Regression Using the ACE Algorithm - Richard D De Veaux
Geometry of Multiple Regression and Interactive 3-D Graphics - Georges Monette
Regression Diagnostics - Kenneth A Bollen and Robert W Jackman
An Expository Treatment of Outliers and Influential Cases
A Primer on Robust Regression - Richard A Berk
An Introduction to Bootstrap Methods - Robert A Stine
Examples and Ideas
The Analysis of Social Science Data with Missing Values - Roderick J A Little and Donald B Rubin
Selection Bias in Linear Regression, Logit and Probit Models - Jeffrey A Dubin and Douglas Rivers
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