Mir Subzar1, Amer Ibrahim Al-Omari2, Ayed R. A. Alanzi3, *
CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 125-138, 2020, DOI:10.32604/cmc.2020.010230
Abstract The ordinary least square (OLS) method is commonly used in regression
analysis. But in the presence of outlier in the data, its results are unreliable. Hence, the
robust regression methods have been suggested for a long time as alternatives to the OLS
to solve the outliers problem. In the present study, new ratio type estimators of finite
population mean are suggested using simple random sampling without replacement
(SRSWOR) utilizing the supplementary information in Bowley’s coefficient of skewness
with quartiles. For these proposed estimators, we have used the OLS, Huber-M, Mallows
GM-estimate, Schweppe GM-estimate, and SIS GM-estimate methods for estimating the… More >
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