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Multiple Regression A Primer

ISBN-10: 0761985336
ISBN-13: 9780761985334
Edition: 1998
Authors: Paul D. Allison
List price: $60.00 Buy it from $39.44
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Description: This extremely well-written, straightforward book gives you the flexibility to cover regression more thoroughly than do most statistics texts, without financially taxing your students, and is written at a level that undergraduate students can easily  More...

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Book details

List price: $60.00
Copyright year: 1998
Publisher: SAGE Publications, Incorporated
Publication date: 12/29/1998
Binding: Paperback
Pages: 224
Size: 6.25" wide x 9.25" long x 0.50" tall
Weight: 0.902
Language: English

This extremely well-written, straightforward book gives you the flexibility to cover regression more thoroughly than do most statistics texts, without financially taxing your students, and is written at a level that undergraduate students can easily comprehend.

Paul D. Allison, Ph.D., is Professor of Sociology at the University of Pennsylvania where he teaches graduate courses in methods and statistics. He is also the founder and president of Statistical Horizons LLC which offers short courses on a wide variety of statistical topics. After completing his doctorate in sociology at the University of Wisconsin, he did postdoctoral study in statistics at the University of Chicago and the University of Pennsylvania. He has published eight books and more than 60 articles on topics that include linear regression, log-linear analysis, logistic regression, structural equation models, inequality measures, missing data, and survival analysis. Much of his early research focused on career patterns of academic scientists. At present, his principal research is on methods for analyzing longitudinal data, especially those for determining the causes and consequences of events, and on methods for handling missing data. A former Guggenheim Fellow, Allison received the 2001 Lazarsfeld Award for distinguished contributions to sociological methodology. In 2010 he was named a Fellow of the American Statistical Association. He is also a two-time winner of the American Statistical Association's award for "Excellence in Continuing Education."nbsp;

What Is Multiple Regression?
How Do I Interpret Multiple Regression Results?
What Can Go Wrong with Multiple Regression?
How Do I Run a Multiple Regression?
How Does Bivariate Regression Work?
What Are the Assumptions of Multiple Regression?
What Can Be Done about Multicollinearity?
How Can Multiple Regression Handle Nonlinear Relationships?
How Is Multiple Regression Related to Other Statistical Techniques?

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