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, cilt.88, sa.9, ss.1702-1716, 2018 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 88 Sayı: 9
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1080/00949655.2018.1444765
  • Dergi Adı: JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1702-1716
  • Anahtar Kelimeler: Ranked set sampling, sampling designs, Tukey's g-h distribution, goodness-of-fit tests, KOLMOGOROV-SMIRNOV TEST, FINITE POPULATION, NORMALITY
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

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.