Hypothesis tests on the scale parameter using median ranked set sampling

Syed S. Hossain; Hassen A. Muttlak

doi:10.6092/issn.1973-2201/1215

Hypothesis tests on the scale parameter using median ranked set sampling

Authors

Syed S. Hossain University of Dhaka
Institute of Statistical Research and Training
Hassen A. Muttlak King Fahd University of Petroleum and Minerals, Dhahran
Department of Mathematical Science

DOI:

https://doi.org/10.6092/issn.1973-2201/1215

Abstract

In this paper, some test procedures for scale parameters of exponential and rectangular distributions involving the median ranked set sampling (MRSS) method are discussed. The necessary tables for the critical regions for the suggested tests are supplied. The power functions of the tests are compared with the power functions of the same tests suggested by Abu-Dayyeh and Muttlak (1996) using ranked set sampling (RSS) data. It is seen that the test procedures using the MRSS data have greater power than those using the RSS data when the sample is drawn from an exponential distribution.

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How to Cite

Hossain, S. S., & Muttlak, H. A. (2006). Hypothesis tests on the scale parameter using median ranked set sampling. Statistica, 66(4), 415–434. https://doi.org/10.6092/issn.1973-2201/1215