Generalized linear models : a unified approach /: a unified approach. (2019)

• Record Type: Book
• Further Information: Note: Jeff Gill and Michelle Torres.
• Authors: Gill, Jeff; (Statistician), Torres, Michelle
• Contents: Series Editor's Introduction; About the Authors; Acknowledgements; 1. Introduction; Model Specification; Prerequisites and Preliminaries; Looking Forward; 2. The Exponential Family; Justification; Derivation of the Exponential Family Form; Canonical Form; Multi-Parameter Models; 3. Likelihood Theory and the Moments; Maximum Likelihood Estimation; Calculating the Mean of the Exponential Family; Calculating the Variance of the Exponential Family; The Variance Function; 4. Linear Structure and the Link Function; The Generalization; Distributions; 5. Estimation Procedures; Estimation Techniques; Profile Likelihood Confidence Intervals; Comments on Estimation; 6. Residuals and Model Fit; Defining Residuals; Measuring and Comparing Goodness-of-Fit; Asymptotic Properties; 7. Extentions to Generalized Linear Models; Introduction to Extensions; Quasi-Likelihood Estimation; Generalized Linear Mixed Effects Model; Fractional Regression Models; The Tobit Model; A Type-2 Tobit Model with Stochastic Censoring; Zero Inflated Accomodating Models; A Warning About Robust Standard Errors; Summary; 8. Conclusion; Summary; Related Topics; Classic Reading; Final Motivation; 9. References
• Edition: Second edition
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2019
• Extent: 1 online resource
• Subjects: 519.535; Linear models (Statistics)
• Languages: English
• ISBNs: 9781506387321
• 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.