A Regression Type Estimator with Two Auxiliary Variables for Two-Phase Sampling

• 作者: Muhammad Hanif Najeeb Haider Naqvi Hamad
• 来源期刊: 统计学期刊(英文)
• 学科: 医学
• 关键词: Mean SQUARE Error Precision TWO-PHASE Sampling AUXILIARY Variable Regression TYPE ESTIMATOR Simple Random Sampling without REPLACEMENT
• 年，卷（期）: 2013,（2）
• 页码范围: 74-78
• 页数: 5页
• 分类号: R73

摘要

This paper is an extension of Hanif, Hamad and Shahbaz estimator [1] for two-phase sampling. The aim of this paper is to develop a regression type estimator with two auxiliary variables for two-phase sampling when we don’t have any type of information about auxiliary variables at population level. To avoid multi-collinearity, it is assumed that both auxiliary variables have minimum correlation. Mean square error and bias of proposed estimator in two-phase sampling is derived. Mean square error of proposed estimator shows an improvement over other well known estimators under the same case.