NDLI: Variance estimation using judgment post-stratification

Content Provider	Springer Nature Link
Author	Frey, Jesse Feeman, Timothy G.
Copyright Year	2012
Abstract	We consider the problem of estimating the variance of a population using judgment post-stratification. By conditioning on the observed vector of ordered in-stratum sample sizes, we develop a conditionally unbiased nonparametric estimator that outperforms the sample variance except when the rankings are very poor. This estimator also outperforms the standard unbiased nonparametric variance estimator from unbalanced ranked-set sampling.
Starting Page	551
Ending Page	569
Page Count	19
File Format	PDF
ISSN	00203157
Journal	Annals of the Institute of Statistical Mathematics
Volume Number	65
Issue Number	3
e-ISSN	15729052
Language	English
Publisher	Springer Japan
Publisher Date	2012-11-15
Publisher Place	Japan
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Conditioning Imperfect rankings Judgment ranking Ranked-set sampling Statistics Statistics for Business/Economics/Mathematical Finance/Insurance
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability

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Variance estimation using judgment post-stratification