Logistic regression : a primer /: a primer. (2020)

• Record Type: Book
• Further Information: Note: Fred C. Pampel.
• Authors: Pampel, Fred C
• Contents: 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
• Edition: 2nd edition
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 519.536; Logistic regression analysis
• Languages: English
• ISBNs: 9781071816196
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.