Discrepancy-tolerant hierarchical Poisson event-rate analyses
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Authors
Gaver, Donald Paul
Subjects
Statistical estimation
Poisson process
empirical Bayes
Poisson process
empirical Bayes
Advisors
Date of Issue
1985-07
Date
1985-07
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
There are units (machines) that generate events (failures) at possibly different, constant, Poisson rates. Having observed a record of such events, it is desired to (a) characterize the overall variability of true rates, and (b) use the result of (a) to create improved estimates of the individual rates by selective pooling. The results are evaluated by simulation, and applied to actual operational data. Additional keywords: Statistical estimation; Bayes theorem; Population(Mathematics); Superpopulation; Mathematical models. (Author)
Type
Technical Report
Description
Series/Report No
Department
Identifiers
NPS Report Number
NPS55-85-016
Sponsors
Prepared for: Office of Naval Research
Funder
Office of Naval Research
Format
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.