KCI등재
학술저널
On the Estimation of the Distribution Function Using Extreme Median Ranked Set Sampling
- 김동희(Dong-Hee Kim) 김동욱(Dong-Wook Kim) 김현기(Hyun-Gee Kim)
- 한국자료분석학회
- Journal of The Korean Data Analysis Society (JKDAS)
- Vol.7 No.2
- 등재여부 : KCI등재
- 2005.04
- 429 - 439 (11 pages)
Regarding Simple Random Sample (SRS), the relationship between Extreme Ranked Set Samples (ERSSs) and Median Ranked Set Sample (MRSS) was studied in detail by Samawi and AL-Sagheer(2001). What we consider in this paper is the Extreme Median Ranked Set Sample (EMRSS) of SRS and Ranked Set Sampling (RSS), which is a mixed form of ERSSs and MRSS. We prove in this paper that the distribution function estimator of EMRSS for a random variable X is more efficient than SRS and RSS estimator for a given x. The Relative Precision (RP) of EMRSS, SRS, and RSS was calculated respectively.
1. Introduction
2. Extreme Median Ranked Set Sampling
3. Estimation of Distribution Function
4. Conclusions and Further Works
References