Poisson Changepoint Data and Goodness of Fit

James M Freeman, Shuming Chen

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

In the paper, we present details of a statistical procedure for detecting an unknown change-point for a sequence of Poisson variables. The new methodology is based on a goodness of fit formulation. It has been tested on a variety of simulated and actual datasets, including a number, well-known from the literature. The procedure has been found to be particularly appropriate to problems where either an abrupt change or a cumulative change in the value of a Poisson parameter has occurred after an unknown point.
Original languageEnglish
Title of host publicationhost publication
Publication statusPublished - 2012
EventSecond International Conference on Stochastic Models, Techniques & Data Analysis (SMTDA 2012). - Chania, Crete
Duration: 8 Jun 201211 Jun 2012

Conference

ConferenceSecond International Conference on Stochastic Models, Techniques & Data Analysis (SMTDA 2012).
CityChania, Crete
Period8/06/1211/06/12

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