Generalized linear models for bounded and limited quantitative variables. (2019)

• Record Type: Book
• Further Information: Note: Michael Smithson, Yiyun Shou.
• Authors: Smithson, Michael; Shou, Yiyun
• Contents: 1. Introduction and Overview; Overview of this Book; The Nature of Bounds on Variables; The Generalized Linear Model; Examples; 2. Models for Singly-Bounded Variables; GLMs for singly-bounded variables; Model Diagnostics; Treatment of Boundary Cases; 3. Models for Doubly-Bounded Variables; Doubly-Bounded Variables and \Natural" Heteroskedasticity; The Beta Distribution: Definition and Properties; Modeling Location and Dispersion; Estimation and Model Diagnostics; Treatment of Cases at the Boundaries; 4. Quantile Models for Bounded Variables; Introduction; Quantile regression; Distributions for Doubly-Bounded Variables with Explicit Quantile Functions; The CDF-Quantile GLM; 5. Censored and Truncated Variables; Types of censoring and truncation; Tobit models; Tobit Model Example; Heteroskedastic and Non-Gaussian Tobit Models; 6. Extensions and Conclusions; Extensions and a General Framework; Absolute Bounds and Censoring; Multi-Level and Multivariate Models; Bayesian Estimation and Modeling; Roads Less Traveled and the State of the Art; References
• Edition: 1st
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2019
• Extent: 1 online resource
• Subjects: 511.326; Variables (Mathematics); Linear models (Statistics)
• Languages: English
• ISBNs: 9781544334516
• 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.