Regression Modeling Strategies
This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modeling, which entails choosing and using multiple tools. Instead...
Permalink: | http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:46934/TOC |
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Matična publikacija: | Springer eBooks SpringerLINK ebooks - Mathematics and Statistics (2015) |
Ostali autori: | SpringerLink (Online service) (-) |
Vrsta građe: | Knjiga |
Jezik: | eng |
Izdanje: | 2nd ed. 2015. |
Nakladnička cjelina: |
Springer Series in Statistics,
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Predmet: | |
Online pristup: |
Full text available from SpringerLINK ebooks - Mathematics and Statistics (2015) |
Sadržaj:
- Introduction
- General Aspects of Fitting Regression Models
- Missing Data
- Multivariable Modeling Strategies
- Describing, Resampling, Validating and Simplifying the Model
- R Software
- Modeling Longitudinal Responses using Generalized Least Squares
- Case Study in Data Reduction
- Overview of Maximum Likelihood Estimation
- Binary Logistic Regression
- Binary Logistic Regression Case Study 1
- Logistic Model Case Study 2: Survival of Titanic Passengers
- Ordinal Logistic Regression
- Case Study in Ordinal Regression, Data Reduction and Penalization.- Regression Models for Continuous Y and Case Study in Ordinal Regression
- Transform-Both-Sides Regression
- Introduction to Survival Analysis
- Parametric Survival Models
- Case Study in Parametric Survival Modeling and Model Approximation
- Cox Proportional Hazards Regression Model
- Case Study in Cox Regression
- Appendix. .