On the effect of imperfect ranking on the amount of fisher information in ranked set samples

Sangun Park, Johan Lim

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

It is well known that a ranked set sample under perfect ranking provides more information than an i.i.d. sample of the same size. Then it may be interesting to study how much information is lost due to imperfect ranking. In this article, we consider some ranking mechanisms and study the loss of the Fisher information according to the degree of imperfect ranking. Then we continue to discuss the optimal combination of the sample size and number of strata in terms of maximizing the Fisher information for the bivariate normal and exponential distributions.

Original languageEnglish
Pages (from-to)3608-3620
Number of pages13
JournalCommunications in Statistics - Theory and Methods
Volume41
Issue number19
DOIs
Publication statusPublished - 2012 Sep 17

All Science Journal Classification (ASJC) codes

  • Statistics and Probability

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