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Testing Overdispersion in Data with Censoring Using Mixtures of Exponential Families

Citation

Cheng, Hsing Yi & Suchindran, Chirayath M. (1997). Testing Overdispersion in Data with Censoring Using Mixtures of Exponential Families. Communications in Statistics: Theory and Methods, 26(12).

Abstract

This resean h extends the mixture of exponential family developed by Dean (1992) to accommodate oveidispeision in data with censoring. Score statistics testing the (Existence of overdispersion based on the proposed model are obtained Simulations show that the test statistics have suffcient power in detecting the existence of overdispersion when sample size are sufficiently large and the degree of censoring is mild (i. e, 40%) The test statistics are applied to real data sets and are able to detect overdispersion in those data sets.

URL

https://doi.org/10.1080/03610929708832087

Reference Type

Journal Article

Journal Title

Communications in Statistics: Theory and Methods

Author(s)

Cheng, Hsing Yi
Suchindran, Chirayath M.

Year Published

1997

Volume Number

26

Issue Number

12

Reference ID

1042