Logistic Regression (eBook)

A Primer

Fred C. Pampel (Autor)

eBook Download: EPUB

2020 | 2., Second Edition
152 Seiten
Sage Publications (Verlag)
978-1-0718-1619-6 (ISBN)

Inhalt

Series Editor’s Introduction
Preface
Acknowledgments
About the Author
Chapter 1: The Logic of Logistic Regression
Regression With a Binary Dependent Variable
Transforming Probabilities Into Logits
Linearizing the Nonlinear
Summary
Chapter 2: Interpreting Logistic Regression Coefficients
Logged Odds
Odds
Probabilities
Standardized Coefficients
Group and Model Comparisons of Logistic Regression Coefficients
Summary
Chapter 3: Estimation and Model Fit
Maximum Likelihood Estimation
Tests of Significance Using Log Likelihood Values
Model Goodness of Fit
Summary
Chapter 4: Probit Analysis
Another Way to Linearize the Nonlinear
The Probit Transformation
Interpretation
Maximum Likelihood Estimation
Summary
Chapter 5: Ordinal and Multinomial Logistic Regression
Ordinal Logistic Regression
Multinomial Logistic Regression
Summary
Notes
Appendix: Logarithms
The Logic of Logarithms
Properties of Logarithms
Natural Logarithms
Summary
References
Index

Produkt-Details

• Erscheint lt. Verlag: 29.9.2020
• Reihe/Serie: Quantitative Applications in the Social Sciences
• Reihe/Serie: Quantitative Applications in the Social Sciences
• Verlagsort: Thousand Oaks
• Sprache: englisch
• Themenwelt: Sachbuch/Ratgeber ► Natur / Technik ► Natur / Ökologie
• Themenwelt: Naturwissenschaften
• Schlagworte: Fred C. Pampel • Logistic Regression • Logistic Regression: A Primer, Second Edition • Pampel • QASS Series • Quantitative Applications in the Social Sciences
• ISBN-10: 1-0718-1619-5 / 1071816195
• ISBN-13: 978-1-0718-1619-6 / 9781071816196