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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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

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spelling	ndltd-TW-099NCU053370182017-07-09T04:29:51Z http://ndltd.ncl.edu.tw/handle/81443827923072996565 Inference for overdispersion in count data without making distributional assumptions 個數資料之過離散性的強韌推論 Ya-ting Tsao 曹雅婷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. Tsung-shan Tsou 鄒宗山 2011 學位論文 ; thesis 60 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	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.
author2	Tsung-shan Tsou
author_facet	Tsung-shan Tsou Ya-ting Tsao 曹雅婷
author	Ya-ting Tsao 曹雅婷
spellingShingle	Ya-ting Tsao 曹雅婷 Inference for overdispersion in count data without making distributional assumptions
author_sort	Ya-ting Tsao
title	Inference for overdispersion in count data without making distributional assumptions
title_short	Inference for overdispersion in count data without making distributional assumptions
title_full	Inference for overdispersion in count data without making distributional assumptions
title_fullStr	Inference for overdispersion in count data without making distributional assumptions
title_full_unstemmed	Inference for overdispersion in count data without making distributional assumptions
title_sort	inference for overdispersion in count data without making distributional assumptions
publishDate	2011
url	http://ndltd.ncl.edu.tw/handle/81443827923072996565
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Inference for overdispersion in count data without making distributional assumptions

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