理解 Chao（《生物统计学》，1982 年）[关于 ΠPS 抽样方案的论文］

International Journal of Statistical Sciences Pub Date : 2024-03-28 DOI:10.3329/ijss.v24i1.72032

Y. M. Singh, G. S. Sharma, Opendra Salam, B. K. Sinha

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摘要

Chao（1982 年）的抽样方案提供了一种基于概率与规模成正比（PPS）的无替换抽样的系统性方法，但它可能难以掌握，尤其是对于入门级研究人员而言。为此，本研究重新审视了赵氏方法，旨在提供一种简化的、更直观的理解。我们从汤米-赖特（Tommy Wright）博士的努力以及随后与 BKS 的小组讨论中汲取灵感，通过举例说明对赵氏方法进行了逐步分解，强调了该方法的优雅性和实用性。这项研究展示了将复杂的统计方法变得易于理解，以便更广泛地参与研究和实践的价值。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Understanding Chao (Biometrika, 1982) [Paper on ΠPS Sampling Schemes]

Chao's (1982) sampling scheme offers a systematic approach to select samples based on probability proportional to size (PPS) sampling without replacement but it might be difficult to grasp, particularly for entry-level researchers. In response, this study revisits Chao's method with the aim of providing a simplified and more intuitive understanding. Drawing inspiration from efforts by Dr. Tommy Wright and subsequent group discussions with BKS, we present a step-by-step breakdown of Chao's scheme with illustrative examples, emphasizing its elegance and practicality. This study showcases the value of making complex statistical methods accessible for broader engagement in research and practice. International Journal of Statistical Sciences, Vol.24(1), March, 2024, pp 133-154

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International Journal of Statistical Sciences

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