Building likelihood function for non-negative continuous random variates using Poisson and negative binomial odels.

碩士 === 國立中央大學 === 統計研究所 === 97 === The purpose of this research is trying to use discrete distribution to construct a likelihood function for non-negative continuous data. We focus on the Poisson distribution and negative binomial distribution and use the robust likelihood methodology introduced by...

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Main Authors:	Ming-Shiang Dai, 戴名祥
Other Authors:	Tsung-Shan Tsou
Format:	Others
Language:	zh-TW
Published:	2009
Online Access:	http://ndltd.ncl.edu.tw/handle/36480413797810992651

id	ndltd-TW-097NCU05337024
record_format	oai_dc
spelling	ndltd-TW-097NCU053370242016-05-02T04:10:57Z http://ndltd.ncl.edu.tw/handle/36480413797810992651 Building likelihood function for non-negative continuous random variates using Poisson and negative binomial odels. 用卜瓦松與負二項分配建構非負連續隨機變數平均數之概似函數 Ming-Shiang Dai 戴名祥碩士國立中央大學統計研究所 97 The purpose of this research is trying to use discrete distribution to construct a likelihood function for non-negative continuous data. We focus on the Poisson distribution and negative binomial distribution and use the robust likelihood methodology introduced by Royall and Tsou (2003). Finally, we can see that the robust Poisson model and the robust negative binomial model are more efficient than the robust normal model. Moreover, we use a counter-example to illustrate that it is not coincidental. Tsung-Shan Tsou 鄒宗山 2009 學位論文 ; thesis 122 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 === 97 === The purpose of this research is trying to use discrete distribution to construct a likelihood function for non-negative continuous data. We focus on the Poisson distribution and negative binomial distribution and use the robust likelihood methodology introduced by Royall and Tsou (2003). Finally, we can see that the robust Poisson model and the robust negative binomial model are more efficient than the robust normal model. Moreover, we use a counter-example to illustrate that it is not coincidental.
author2	Tsung-Shan Tsou
author_facet	Tsung-Shan Tsou Ming-Shiang Dai 戴名祥
author	Ming-Shiang Dai 戴名祥
spellingShingle	Ming-Shiang Dai 戴名祥 Building likelihood function for non-negative continuous random variates using Poisson and negative binomial odels.
author_sort	Ming-Shiang Dai
title	Building likelihood function for non-negative continuous random variates using Poisson and negative binomial odels.
title_short	Building likelihood function for non-negative continuous random variates using Poisson and negative binomial odels.
title_full	Building likelihood function for non-negative continuous random variates using Poisson and negative binomial odels.
title_fullStr	Building likelihood function for non-negative continuous random variates using Poisson and negative binomial odels.
title_full_unstemmed	Building likelihood function for non-negative continuous random variates using Poisson and negative binomial odels.
title_sort	building likelihood function for non-negative continuous random variates using poisson and negative binomial odels.
publishDate	2009
url	http://ndltd.ncl.edu.tw/handle/36480413797810992651
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Building likelihood function for non-negative continuous random variates using Poisson and negative binomial odels.

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