TWO-STAGE ESTIMATION IN LOG-LOGISTIC MODEL

被引：0

作者：

Rao, Srinivasa G. ^{[1
]}

Kantam, R. R. L. ^{[2
]}

机构：

[1] Dilla Univ, Dept Stat, Sch Math & Comp Sci, Dilla, Ethiopia

[2] Acharya Nargarjuna Univ, Dept Stat, Guntur 522510, Andhra Pradesh, India

来源：

PAKISTAN JOURNAL OF STATISTICS | 2012年 / 28卷 / 03期

关键词：

Log-logistic distribution; Least squares estimates; Two-stage estimation; ML estimation; Modified ML estimate; Quantile estimation; Median;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The two parameters log- logistic distribution is considered. Its parameters are first estimated by a simple linear regression approach through ordered statistics. The first stage estimates are then used to get the iterative solution of exact log- likelihood equation for the scale parameter to get the Maximum Likelihood Estimator (MLE). The modified ML Estimates are also obtained using the first stage estimates. The results are explained by an example.

引用

页码：331 / 339

页数：9

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