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Bayesian Analysis for Correlated Ordinal Data Models
| Content Provider | Scilit |
|---|---|
| Author | Dey, Dipak K. Ghosh, Sujit K. Mallick, Bani K. |
| Copyright Year | 2000 |
| Description | Bayesian methods are considered for analyzing correlated ordinal data. We present a new approach to Bayesian hierarchical generalized linear models using parametric classical approaches to these are intractable and thus Bayesian methods algorithms to perform the Bayesian analysis are further developed and a real data example is used to illustrate the methodologies. Book Name: Generalized Linear Models |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2006-0-08981-9&isbn=9780429182402&doi=10.1201/9781482293456-15&format=pdf |
| Ending Page | 176 |
| Page Count | 26 |
| Starting Page | 151 |
| DOI | 10.1201/9781482293456-15 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2000-05-25 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Generalized Linear Models Mathematical Social Sciences Bayesian Analysis Bayesian Methods Ordinal Data Correlated Ordinal |
| Content Type | Text |
| Resource Type | Chapter |