Robust empirical Bayes analyses of event rates
Donald P. Gaver, Iognaid G. O'Muircheartaigh
Our rough guess is there are 13,250 words in this book.
At a pace averaging 250 words per minute, this book will take 0 hours and 53 minutes to read. With a half hour per day, this will take 2 days to read.
How long will it take you?
This book will take an estimated to read at a reading speed averaging words per minute. With 30 minutes per day, this will take to read.
Enter your reading speedYou can take one of our WPM reading speed tests to find your reading speed.
Create a free account to track your reading progress, build your reading list, and set reading goals.
Author
Contributions
- O'Muircheartaigh, I. G. - Contributor
- Naval Postgraduate School (U.S.). Dept. of Operations Research - Contributor
Publication
1986 - Available from National Technical Information Service, Monterey, Calif, California
Language
English
Word Count
13,250 words, Guess
Page Count
53 pages
Identifiers
- Internet Archiverobustempiricalb00gave
- Open LibraryOL25494347M
Alternate Titles
- NPS-55-86-007.
Description
A number, I, of nominally similar items generate events (e.g. failures) at possibly different rates, or mean time intervals. This paper addresses the problem of appropriately pooling the data from the different sources. The approach is parametric empirical Bayes: true individual item rates are assumed to come from a fixed superpopulation. It is shown how parameters of a superpopulation model can be estimated from all of the data, and combined with individual unit history, can provide improved estimates of individual rates. The procedure can be robust: evidence that a particular rate is far off from the main body of rates permits that outlier to stand by itself, i.e. to resist pooling. Illustrative analyses of data are supplied. Keywords: Robustness; Population(Mathematics); and Charts.
Subjects
Topics
Reader Reviews
No reviews yet for this book.
Be the first to share your thoughts!