Modeling rare events using a zero-inflated poisson (ZIP) distribution: some new results on point estimator (Record no. 84129)

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control field 20230202091106.0
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100 1# - MAIN ENTRY--PERSONAL NAME
Preferred name for the person Unhapipat, Suntaree
Relator term author
245 10 - TITLE STATEMENT
Title Modeling rare events using a zero-inflated poisson (ZIP) distribution: some new results on point estimator
264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc 2017
520 3# - SUMMARY, ETC.
Summary, etc This paper takes a fresh look on point estimation of model parameters under a Zero-Inflated Poisson (ZIP) distribution. The reason is that some finer details of point estimation, if overlooked, may lead to wrong estimates as was done by the earlier researchers. In this paper we have achieved the following new results: (a) A new set of corrected method of moments estimators has been proposed; (b) We have shown how the standard technique of differentiating the log-likelihood function to find the maximum likelihood estimators may lead to wrong estimates, as well as how to avoid this problem; and (c) A new adjusted maximum likelihood estimation technique has been proposed which not only produces meaningful estimates always, but also appears to work better compared to all other estimation techniques in terms of standardized mean squared error (SMSE) when ZIP is used to model rare events. Finally, datasets on rare events have been used to demonstrate the estimation techniques, and how the ZIP distribution can be used to model such datasets.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Moments method (Statistics)
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pal, Nabendu
Relator term author
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Personal name Tiensuwan, Montip
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773 ## - HOST ITEM ENTRY
Title The Philippine Statistician
Relationship information vol. 66, no. 2: (2017), pages 47-69
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Source of classification or shelving scheme
Item type JOURNAL ARTICLE
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          COLLEGE LIBRARY COLLEGE LIBRARY PERIODICALS 2023-02-02 2023-02-02 2023-02-02 JOURNAL ARTICLE