Bayesian Poisson rate estimation using parameter maps.: An article from: IIE Transactions

This digital document is an article from IIE Transactions, published by Institute of Industrial Engineers, Inc. (IIE) on June 1, 1995. The length of the article is 5006 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

From the author: This paper presents a procedure for the sequential estimation of the rate parameter for a Poisson process. The procedure is based on Bayes' rule for combining new sample data with a prior estimate to obtain a posterior estimate. The procedure is facilitated by the use of a parameter map for monitoring the sequence of estimates and by a stationarity test for verifying the appropriateness of some of the assumptions.

Citation Details
Title: Bayesian Poisson rate estimation using parameter maps.
Author: James R. Buck
Publication:IIE Transactions (Refereed)
Date: June 1, 1995
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: v27 Issue: n3 Page: p405(8)

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