ARTICLE
TITLE

A Class of Exponential Ratio Estimators of Finite Population Mean Using Two Auxiliary Variables

SUMMARY

This paper proposes a class of estimators based on information of two auxiliary variables. The expressions of mean square errors of the proposed class of estimators are derived in a general form. It is shown that the proposed class of estimators is always more efficient than regression estimator based on two variable, estimators proposed by Abu-Dayeh (2003) and estimators recently proposed by and Lu and Yan (2014). In addition, we support this theoretical result by an empirical study using original data to show the superiority of the constructed estimators over others.

 Articles related

Muhammad Shahzad Chaudhry,Muhammad Hanif    

In this paper, a generalized exponential-cum-exponential estimator is proposed utilizing the two auxiliary variables based on average values of the networks in adaptive cluster sampling. The exponential ratio-cum- exponential ratio, exponential product-c... see more


Neema Mohamed El Haroun    

The generalized probability weighted moments are widely used in hydrology for estimating parameters of flood distributions from complete sample. The method of partial generalized probability weighted moments was used to estimate the parameters of distrib... see more


SANKU DEY    

The generalized exponential (GE) distribution proposed by Gupta and Kundu (1999) is an important lifetime distribution in survival analysis. In this article, we propose to obtain Bayes estimators and its associated risk based on a class of  non-info... see more


Broderick Oluyede, Precious Mdlongwa, Boikanyo Makubate, Shujiao Huang    

A new generalized class of distributions called the Burr-Weibull Power Series (BWPS) class of distributions is developed and explored. This class of distributions generalizes the Burr power series and Weibull power series classes of distributions, respec... see more


Broderick Oluyede, Shujiao Huang, Tiantian Yang    

A new five parameter gamma-generalized modified Weibull (GGMW) distribution which includes exponential, Rayleigh, modified Weibull, Weibull, gamma-modified Weibull, gamma-modified Rayleigh, gamma-modified exponential, gamma-Weibull, gamma-Rayleigh, and g... see more