MAXIMUM LIKELIHOOD ESTIMATION OF PARAMETERS IN A PERTURBED EXPONENTIAL MODEL

被引：0

作者：

Nanjundan, G. ^{[1
]}

Naika, T. Raveendra ^{[2
]}

机构：

[1] Bangalore Univ, Dept Stat, Bangalore 560056, Karnataka, India

[2] Maharanis Sci Coll Women, Bangalore 560001, Karnataka, India

来源：

INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES | 2011年 / 7卷 / 02期

关键词：

Mixture model; Maximum likelihood estimation; EM Algorithm;

D O I：

暂无

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Suppose that a social group under study consists of both suitable and unsuitable people for the transplantation of an organ. Then, the lifetime after the transplantation of an individual coming from this group turns out to be a mixture. This paper discusses the maximum likelihood estimation of the parameters involved in the mixture model using the EM algorithm. The performance of the estimates is studied through simulation.

引用

页码：527 / 534

页数：8

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