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Regression Models for Categorical and Limited Dependent Variables

By: Language: English Series: Advanced Quantitative Techniques in the Social Sciences ; 7 | Berk, Richard (Ed.)Publication details: Thousand Oaks, London, New Delhi : Sage Publications, International Educational and Professional Publisher 1997Edition: 1. EdDescription: xxx, 297 ppISBN:
  • 0-8039-7374-8
Subject(s): DDC classification:
  • 519 Probabilities and applied mathematics
Online resources:
Contents:
from the Table of Contents: List of Figures; List of Tables; Series Editor's Introduction; Preface; Acknowledgments; Abbreviations and Notation; Introduction; Continuous Outcomes: The Linear Regression Model; Binary Outcomes: The Linear Probability, Probit, and Logit Models; Hypothesis Testing and Goodness of Fit; Ordinal Outcomes: Ordered Logit and Ordered Probit Analysis; Nominal Outcomes: Multinomial Logit and Related Models; Limited Outcomes: The Tobit Model; Count Outcomes: Regression Models for Counts; Conclusions; Answers to Exercises; References; Author Index; Subject Index;
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Loanable Institute for Advanced Studies (IHS) Book 17817-A Available IHS102184902

from the Table of Contents: List of Figures; List of Tables; Series Editor's Introduction; Preface; Acknowledgments; Abbreviations and Notation; Introduction; Continuous Outcomes: The Linear Regression Model; Binary Outcomes: The Linear Probability, Probit, and Logit Models; Hypothesis Testing and Goodness of Fit; Ordinal Outcomes: Ordered Logit and Ordered Probit Analysis; Nominal Outcomes: Multinomial Logit and Related Models; Limited Outcomes: The Tobit Model; Count Outcomes: Regression Models for Counts; Conclusions; Answers to Exercises; References; Author Index; Subject Index;

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