RATIO ESTIMATOR UNDER RANK SET SAMPLING SCHEME USING HUBER M IN CASE OF OUTLIERS.

Rank Set Sampling (RSS) is an alternative to simple random sampling was proposed by McIntyre (1952): Under such sampling scheme various authors have proposed the ratio rank set estimators in order to estimate the population parameters by using OLS (Ordinary Least Square) method. A big issue emerge that when outliers are present in data in that case all the estimators suggested by different authors can give distorted results as OLS is very sensitive to outliers. So in the present study we mainly focus on this issue and adapted the Huber M estimation Technique on the estimator suggested by Al-Odat (2009) instead of OLS, in order to get precise results in case of presence of outliers in data. [ABSTRACT FROM AUTHOR]