Inference for overdispersion in count data without making distributional assumptions

碩士 === 國立中央大學 === 統計研究所 === 99 === This thesis provides a method for estimating the over-dispersion count data. And this method adopts the poisson distribution as the working model. The violation of the Bartlett’s second identity is then made use of to give rise to a useful formula for the estimat...

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Bibliographic Details
Main Authors: Ya-ting Tsao, 曹雅婷
Other Authors: Tsung-shan Tsou
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/81443827923072996565
Description
Summary:碩士 === 國立中央大學 === 統計研究所 === 99 === This thesis provides a method for estimating the over-dispersion count data. And this method adopts the poisson distribution as the working model. The violation of the Bartlett’s second identity is then made use of to give rise to a useful formula for the estimation of the over-dispersion. This new means is applicable for any sensible link function that relates the response probabilities to the variates.