无放回选择网络的自适应整群抽样

Adaptive cluster sampling with networks selected without replacement

Biometrika · 1997
被引 58
ABS 4

中文导读

提出一种无放回选择网络的自适应整群抽样方法,适用于稀疏或聚集分布的总体,提高估计效率。

Abstract

Journal Article Adaptive cluster sampling with networks selected without replacement Get access MOHAMMAD SALEHI M., MOHAMMAD SALEHI M. Statistics Department, Auckland UniversityPrivate Bag 92019, Auckland, New Zealand e-mail: msalehi@stat.auckland.ac.nzseber@stat.auckland.ac.nz Search for other works by this author on: Oxford Academic Google Scholar GEORGE A. F. SEBER GEORGE A. F. SEBER Statistics Department, Auckland UniversityPrivate Bag 92019, Auckland, New Zealand e-mail: msalehi@stat.auckland.ac.nzseber@stat.auckland.ac.nz Search for other works by this author on: Oxford Academic Google Scholar Biometrika, Volume 84, Issue 1, March 1997, Pages 209–219, https://doi.org/10.1093/biomet/84.1.209 Published: 01 March 1997 Article history Received: 01 November 1995 Revision received: 01 July 1996 Published: 01 March 1997

统计学抽样方法生物统计学