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碩士 === 國立中央大學 === 統計研究所 === 102 === Zero-inflated generalized Poisson distribution and zero inflated negative binomial distribution are models proposed for analyzing over-dispersed count data with excess zeros. We illustrate that inferences derived from these models are sensitive to model misspecifi...
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2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/fj95ge |
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ndltd-TW-102NCU05337007 |
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ndltd-TW-102NCU053370072019-05-15T21:32:34Z http://ndltd.ncl.edu.tw/handle/fj95ge none 零過多與過離散個數資料的分析法 YUN-CHEN LIU 劉允宸 碩士 國立中央大學 統計研究所 102 Zero-inflated generalized Poisson distribution and zero inflated negative binomial distribution are models proposed for analyzing over-dispersed count data with excess zeros. We illustrate that inferences derived from these models are sensitive to model misspecification. Alternatively, we show that one can fix the normal model to accommodate data with the features of interest. The adjusted normal likelihood is asymptotically legitimate so long as the first two moments are correctly specified and that the 3rd and the 4th moments of the true distributions exist. 鄒宗山 2014 學位論文 ; thesis 42 zh-TW |
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zh-TW |
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Others
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碩士 === 國立中央大學 === 統計研究所 === 102 === Zero-inflated generalized Poisson distribution and zero inflated negative binomial distribution are models proposed for analyzing over-dispersed count data with excess zeros. We illustrate that inferences derived from these models are sensitive to model misspecification.
Alternatively, we show that one can fix the normal model to accommodate data with the features of interest. The adjusted normal likelihood is asymptotically legitimate so long as the first two moments are correctly specified and that the 3rd and the 4th moments of the true distributions exist.
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鄒宗山 |
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鄒宗山 YUN-CHEN LIU 劉允宸 |
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YUN-CHEN LIU 劉允宸 |
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YUN-CHEN LIU 劉允宸 none |
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YUN-CHEN LIU |
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none |
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none |
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none |
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| publishDate |
2014 |
| url |
http://ndltd.ncl.edu.tw/handle/fj95ge |
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