Performances of some goodness-of-fit tests for sampling designs in ranked set sampling


YILDIZ T., Sevil Y. C.

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, vol.88, no.9, pp.1702-1716, 2018 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 88 Issue: 9
  • Publication Date: 2018
  • Doi Number: 10.1080/00949655.2018.1444765
  • Journal Name: JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1702-1716
  • Keywords: Ranked set sampling, sampling designs, Tukey's g-h distribution, goodness-of-fit tests, KOLMOGOROV-SMIRNOV TEST, FINITE POPULATION, NORMALITY
  • Dokuz Eylül University Affiliated: Yes

Abstract

In this study, we consider different sampling designs of ranked set sampling (RSS) and give empirical distribution function (EDF) estimators for each sampling designs. We provide comparative graphs for the EDFs. Using these EDFs, power of five goodness-of-fit tests are obtained by Monte Carlo simulations for Tukey's g-h distributions under RSS and simple random sampling (SRS). Performances of these tests are compared with the tests based on the SRS. Also, critical values belong to these tests are obtained for different set and cycle sizes.