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Article
Some Admissible Nonparametric and Related Finite Population Sampling Estimators
Annals of Statistics
  • Glen Meeden, Iowa State University
  • Malay Ghosh, University of Florida
  • Stephen B. Vardeman, Iowa State University
Document Type
Article
Publication Version
Published Version
Publication Date
1-1-1985
DOI
10.1214/aos/1176349559
Abstract

Given a random sample from an unknown distribution F, which is assumed to belong to some nonparametric family of distributions, consider the problem of estimating γ(F), some function of F. When the loss function is squared error, admissible estimators are exhibited for a large class of γ's. A relationship between these estimators and similar ones in finite population sampling is demonstrated.

Comments

This article is from The Annals of Statistics 13 (1985): 811, doi: 10.1214/aos/1176349559. Posted with permission.

Copyright Owner
Institute of Mathematical Statistics
Language
en
File Format
application/pdf
Citation Information
Glen Meeden, Malay Ghosh and Stephen B. Vardeman. "Some Admissible Nonparametric and Related Finite Population Sampling Estimators" Annals of Statistics Vol. 13 Iss. 2 (1985) p. 811 - 817
Available at: http://works.bepress.com/stephen_vardeman/5/