Advances in mixture models

被引：39

作者：

Boehning, Dankar

Seidel, Wilfried

Alfo, Macro

Garel, Bernard

Patilea, Valentin

Walther, Gunther

机构：

[1] Univ Reading, Sch Biol Sci, Reading RG6 5SA, Berks, England

[2] Helmut Schmidt Univ, Univ Fed Armed Forces Hamburg, Dept Econ & Org Sci, D-22039 Hamburg, Germany

[3] Univ Roma La Sapienza, Dipartimento Stat Probabilita & Stat Applicate, I-00185 Rome, Italy

[4] Inst Natl Polytech Toulouse, Grp Stat & Probabil, Inst Math Toulouse Stat & Probabil, ENSEEIHT,LEN7, F-31071 Toulouse 7, France

[5] Ecole Natl Stat & Anal Informat 1, Ctr Res Econ & Stat, F-35172 Bruz, France

[6] Stanford Univ, Dept Stat, Stanford, CA 94305 USA

来源：

COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2007年 / 51卷 / 11期

关键词：

MAXIMUM-LIKELIHOOD-ESTIMATION; CAPTURE-RECAPTURE DATA; POPULATION-SIZE; DISTRIBUTIONS;

D O I：

10.1016/j.csda.2006.10.025

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

引用

页码：5205 / 5210

页数：6

共 75 条

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[17] A stochastic EM algorithm for a semiparametric mixture model [J].

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Chauveau, Didier ;

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Tanner, Martin A. .

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