A unified treatment of locally most powerful rank tests under type ii censoring

Gouri K. Bhattacharyya, Kishan G. Mehrotra

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

For the derivation of locally most powerful (LMP) rank tests, a general method that encompasses a wide variety of testing problems and type II censoring schemes is formulated. Applications are illustrated in the context of the one-sample, two-sample, and regression problems. It is shown that the traditional derivations of the LMP rank tests are greatly simplified with the proposed method. The LMP criterion is also applied to some problems for which only ad hoc tests were previously proposed.

Original languageEnglish (US)
Pages (from-to)375-381
Number of pages7
JournalJournal of the American Statistical Association
Volume78
Issue number382
DOIs
StatePublished - 1983

Keywords

  • Censored data
  • Locally most powerful
  • Rank tests

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Fingerprint Dive into the research topics of 'A unified treatment of locally most powerful rank tests under type ii censoring'. Together they form a unique fingerprint.

  • Cite this