A Simplified Selection Scheme for Unequal Probability Sampling Without Replacement

被引：0

作者：

Tiwari, Neeraj ^{[1
]}

Chilwal, Akhil ^{[1
]}

机构：

[1] Kumaun Univ, Dept Stat, Almora 263601, Uttarakhand, India

来源：

THAILAND STATISTICIAN | 2013年 / 11卷 / 02期

关键词：

Inclusion probability; joint inclusion probability; unequal probability sampling;

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：

In this paper we present a new inclusion probability proportional size (IPPS) sampling scheme which have some desirable properties of IPPS sampling and providing an unbiased and non-negative variance estimator under the Horvitz-Thompson model. I also consider an empirical study to examine the performance of the proposed sampling scheme compared to some standard IPPS sampling schemes.

引用

页码：133 / 141

页数：9

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