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传统采样和自适应采样中的可检测性。

Detectability in conventional and adaptive sampling.

作者信息

Thompson S K, Seber G A

机构信息

Department of Statistics, Pennsylvania State University, University Park 16802.

出版信息

Biometrics. 1994 Sep;50(3):712-24.

PMID:7981397
Abstract

In this paper a simple but very general method is given for estimating a population total with any sampling design when objects in sampled units are observed with imperfect detectability--a problem characteristic of many surveys of natural and human populations. In the most general case, the method consists of dividing the value of the variable of interest associated with each detected object by the detection probability for that object and then proceeding to use the estimation method that would ordinarily be used under the design if there were no detectability problems. Examples illustrating the method include simple random sampling, conventional unequal probability sampling, and adaptive cluster sampling.

摘要

本文给出了一种简单却非常通用的方法,用于在抽样设计下,当抽样单元中的对象观测存在不完全可检测性时(这是许多自然和人类种群调查的一个典型问题)估计总体总量。在最一般的情况下,该方法包括将与每个检测到的对象相关的感兴趣变量的值除以该对象的检测概率,然后采用在不存在可检测性问题时该设计通常会使用的估计方法。说明该方法的示例包括简单随机抽样、传统不等概率抽样和自适应整群抽样。

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