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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)
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STATISTICAL PROCESSES, RATESShowing 1 featured edition. View all 1 editions?
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Discrepancy-tolerant hierarchical Poisson event-rate analyses
1985, Naval Postgraduate School, Available from National Technical Information Service
in English
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Book Details
Edition Notes
Cover title.
"NPS-55-85-016."
"July 1985."
AD A160 344.
Includes bibliographical references (p. 41-42).
aq/aq cc:9116 06/17/97
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