分层抽样下人口平均值的比例调整比率型校准估计器

Q3 Mathematics

Journal of Modern Applied Statistical Methods Pub Date : 2024-01-02 DOI:10.56801/jmasm.v23.i2.1

Neha Garg, Ambika C, Menakshi Pachori

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引用次数: 0

摘要

在抽样调查中，利用现有的辅助信息，采用校准方法，可以提高有限人口参数估算器的估算精度。本研究利用已知的辅助信息开发了人口平均值的校准估计器。对推荐估计器的特性进行了研究。在模拟研究的帮助下，还对建议估计器的性能进行了调查，并与 Clement [2] 和 Khare 等人 [11] 所给出的估计器进行了比较。

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Proportionality Adjusted Ratio-Type Calibration Estimators of Population Mean Under Stratified Sampling

The estimation accuracy of estimators of finite population parameters in sample surveys can be enhanced by taking advantage of existing auxiliary information using the calibration approach. The present study developed the calibration estimators of population mean utilizing known auxiliary information. The properties of the recommended estimators have been studied. The performance of the suggested estimators has also been investigated with the help of a simulation study and compared with the estimators given by Clement [2] and Khare et al. [11].

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来源期刊

Journal of Modern Applied Statistical Methods STATISTICS & PROBABILITY-

CiteScore

0.50

自引率

0.00%

发文量

期刊介绍： The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.