Steady-state ranked set sampling and parametric estimation

✍ Scribed by Mohammad Fraiwan Al-Saleh

• Publisher: Elsevier Science
• Year: 2004
• Tongue: English
• Weight: 249 KB
• Volume: 123
• Category: Article
• ISSN: 0378-3758
• DOI: 10.1016/s0378-3758(03)00139-3

✦ Synopsis

Ranked set sampling (RSS) was ÿrst used to obtain a more e cient estimator of the population mean, as compared to the one based on simple random sampling. This technique is useful when judgment ordering of a simple random sample (SRS) of small size can be done easily and fairly accurately, but exact measurement of an observation is di cult and expensive. It is noted that, due to the complicated likelihood, parametric estimation with RSS is di cult. In this article, the notion of steady-state RSS is introduced, its relation to stratiÿed sampling is established, and its possible use in parametric estimation is explored and put forward for further investigations.