Regression analysis for social sciences /

Regression Analysis for Social Sciences presents methods of regression analysis in an accessible way, with each method having illustrations and examples. A broad spectrum of methods are included: multiple categorical predictors, methods for curvilinear regression, and methods for symmetric regressio...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Eye, Alexander von
Other Authors: Schuster, Christof
Format: Electronic eBook
Language:Inglés
Published: San Diego, Calif. : Academic Press, ©1998.
Subjects:
Social sciences > Statistical methods.
Regression analysis.
Regression Analysis
Sciences sociales > Méthodes statistiques.
Analyse de régression.
SOCIAL SCIENCE > Essays.
Regressionsanalyse
Sozialwissenschaften
Regressieanalyse.
Sociaal-wetenschappelijk onderzoek.
Online Access:Texto completo
Table of Contents:
  • Simple linear regression
  • Multiple linear
  • Categorical predictors
  • Outlier analysis
  • Residual analysis
  • Polynomial regression
  • Multicollinearity
  • Multiple curvilinear regression
  • Interaction terms in regression
  • Robust regression
  • Symmetric regression
  • Variable selection techniques
  • Regression for longitudinal data
  • Piecewise regression
  • Dichotomous criterion variables
  • Computational issues.

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