Optimal design for double sampling with continuous outcomes

Ori Davidov; Yoel Haitovsky

doi:10.1016/s0378-3758(99)00160-3

Optimal design for double sampling with continuous outcomes

Ori Davidov, Yoel Haitovsky

Department of Statistics

Research output: Contribution to journal › Article › peer-review

Abstract

We provide a method for finding the optimal double sampling plan for estimating the mean value of a continuous outcome. It is assumed that the fallible and true outcome data are related by a simple linear regression model. The design parameters are the total sample size, N, and the number of doubly sampled units n. We show that under certain conditions the efficiency gains, relative to standard sampling plans are considerable.

Original language	English
Pages (from-to)	253-263
Number of pages	11
Journal	Journal of Statistical Planning and Inference
Volume	86
Issue number	1
DOIs	https://doi.org/10.1016/s0378-3758(99)00160-3
State	Published - 15 Apr 2000

Keywords

62D05
Double sampling
Fallible and true outcomes
Optimal design

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty
Applied Mathematics

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10.1016/s0378-3758(99)00160-3

Cite this

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KW - Fallible and true outcomes

KW - Optimal design

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Optimal design for double sampling with continuous outcomes

Abstract

Keywords

ASJC Scopus subject areas

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