Title | ||
---|---|---|
A class of chain ratio-type exponential estimators in double sampling using two auxiliary variates |
Abstract | ||
---|---|---|
In this paper we propose a class of chain ratio-type exponential estimators for population mean in double sampling using two auxiliary variates. The properties of the proposed class of estimators are studied under large sample approximation. It has been shown that the proposed class of estimators is more efficient than the ratio estimator in double sampling y ¿ Rd , Chand's (1975) chain-type ratio estimator y ¿ C and Singh and Vishwakarma (2007) exponential ratio estimator. An empirical study is carried out in support of the present study. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1016/j.amc.2013.11.027 | Applied Mathematics and Computation |
Keywords | Field | DocType |
chain ratio-type exponential estimator,double sampling,present study,ratio estimator,chain-type ratio estimator y,proposed class,double sampling y,auxiliary variate,empirical study,exponential ratio estimator,mean squared error | Efficient estimator,Population,Mathematical optimization,Exponential function,Ratio estimator,Mean squared error,Double sampling,Statistics,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
227 | C | 0096-3003 |
Citations | PageRank | References |
2 | 0.70 | 1 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gajendra K. Vishwakarma | 1 | 3 | 5.12 |
Raj K. Gangele | 2 | 2 | 0.70 |