论文信息 - Estimation of parameters in a multiple regression model using rank set sampling

Estimation of parameters in a multiple regression model using rank set sampling

Abstract Ranked set sampling (RSS) as suggested by McIntyre [2] and Takahasi and Wakimoto [8] may be used to estimate the parameters of the multiple regression model. The objective is to use the (RSS) method to increase the efficiency of the estimators relative to the simple random sampling (SRS) method. Computer simulated results are given. An example using real data is presented to illustrate the computations.

Hassen A. Muttlak

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