書誌事項
- タイトル別名
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- Statistical Inference for the Zero Modification Parameter in Zero-Modified Poisson Models
- ゼロ シュウセイ サレタ ポアソン ブンプ ニ オケル ゼロ シュウセイ パラメータ ノ トウケイテキ スイソク
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抄録
For count data of rare events, a Poisson distribution is most frequently used to model the phenomenon under consideration. However, it is sometimes observed in various applications that the zero count is too many or too few than the count expected under the usual Poisson model. In such cases so-called zero-modified Poisson (ZMP) distributions would be fitted to the observed data. This paper discusses the performance of estimation procedures of the parameter involved in the ZMP distribution. First we attempt to clarify the meaning of the zero-modification parameter in the zero-deflated Poisson (ZDP) distribution in comparison to the zero-inflated Poisson (ZIP) distribution. After reviewing the maximum likelihood estimation procedures for the parameters of ZMP models, a simulation study is conducted to assess the performance of confidence intervals of the zero-modification parameter from the viewpoint of coverage probability. It is found that when sample size is small and the Poisson parameter is small, the performance of interval estimation is not so well. However, for the case of moderate and large sample sizes the coverage probabilities of the confidence intervals are almost equal to the nominal confidence coefficient.
収録刊行物
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- 行動計量学
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行動計量学 40 (1), 63-71, 2013
日本行動計量学会
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詳細情報 詳細情報について
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- CRID
- 1390001205179919232
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- NII論文ID
- 10031151457
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- NII書誌ID
- AN0008437X
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- ISSN
- 18804705
- 03855481
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- NDL書誌ID
- 024618972
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可