Random parameter Markov population process models and their likelihood, Bayes, and empirical Bayes analysis - Info and Reading Options
By Donald Paul Gaver
"Random parameter Markov population process models and their likelihood, Bayes, and empirical Bayes analysis" was published by Naval Postgraduate School in 1985 - Monterey, Calif, it has 24 pages and the language of the book is English.
“Random parameter Markov population process models and their likelihood, Bayes, and empirical Bayes analysis” Metadata:
- Title: ➤ Random parameter Markov population process models and their likelihood, Bayes, and empirical Bayes analysis
- Author: Donald Paul Gaver
- Language: English
- Number of Pages: 24
- Publisher: Naval Postgraduate School
- Publish Date: 1985
- Publish Location: Monterey, Calif
“Random parameter Markov population process models and their likelihood, Bayes, and empirical Bayes analysis” Subjects and Themes:
- Subjects: MATHEMATICAL MODELS - POPULATION(MATHEMATICS) - MARKOV PROCESSES
Edition Specifications:
- Pagination: 24 p. ;
Edition Identifiers:
- The Open Library ID: OL25461328M - OL16835413W
AI-generated Review of “Random parameter Markov population process models and their likelihood, Bayes, and empirical Bayes analysis”:
"Random parameter Markov population process models and their likelihood, Bayes, and empirical Bayes analysis" Description:
The Open Library:
Markov population stochastic processes are useful in describing repairman and logistics problems, networks of queues, pharmacological processes, and manpower situations. This paper considers statistical estimation problems arising for such mathematical models. Parameter estimation of an empirical Bayes nature, with limited shrinkage or discrepancy tolerant features is discussed and illustrated. Additional keywords: Maximum likelihood estimation; Pharmacology; Statistical inference; Statistical analysis. (Author)
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