A Class of Regression Estimators for Finite Population Mean under Two-Phase Sampling

2021 ◽  
Vol 67 (3) ◽  
pp. 51-56
Author(s):  
Priyaranjan Dash ◽  
Bishnupriya Behera
Keyword(s):  
Finite Population ◽  
Two Phase ◽  
Population Mean ◽  
Regression Estimators ◽  
Phase Sampling ◽  
Two Phase Sampling

A Class of Estimators for a Finite Population Mean Based on Multivariate Information and General two Phase Sampling

1995 ◽  
Vol 45 (3-4) ◽  
pp. 203-218 ◽  
Author(s):  
T. P. Tripathi ◽  
M. S. Ahmed
Keyword(s):  
Finite Population ◽  
Population Data ◽  
Two Phase ◽  
Population Means ◽  
Population Mean ◽  
Phase Sampling ◽  
Optimum Estimator ◽  
Class Of Estimators ◽  
Relative Gains ◽  
Two Phase Sampling

A class of estimators for a finite population mean is presented for the situations where population means of some auxiliary variables are known while those of others are unknown. The results for general two phase sampling are indicated while the detailed discussion is made for the case when SRSWOR is used at both the phases. While several known estimators belong to the proposed clas~ some new estimators are identified as well. The optimum estimator in the proposed class is found to be better than the so-called chain ratio and regression estimators discu ssed by Chand (1975). Kiregyera (1984) and Mukerjee et al. (1987). The relative gains in efficiency of tho proposed optimum estimator over the others are obtained for a natural population data and found to be quite appreciable.

scholarly journals Some Exponential Type Predictive Estimators of Finite Population Mean in Two-Phase Sampling

2020 ◽  
Vol 2 (1) ◽  
pp. 51-57
Author(s):  
Asifa Kamal ◽  
Nimra Amir ◽  
Huma Dastagir
Keyword(s):  
Simulation Study ◽  
Finite Population ◽  
Numerical Study ◽  
Real Life ◽  
Data Sets ◽  
Two Phase ◽  
Population Mean ◽  
Real Life Data ◽  
Phase Sampling ◽  
Two Phase Sampling

This study is designed for predictive estimation of finite population mean in two phase sampling using two auxiliary variables. Two phase exponential ratio type estimator and exponential chain ratio type estimator are proposed under predictive approach suggested by Bahl & Tuteja (1991). The expressions of bias and mean square error of both suggested estimators have been carried out for theoretical comparison. The numerical study on real life data sets as well as simulation study has been conducted to examine the performance of suggested estimators. Finally, it is demonstrated that the suggested exponential ratio estimators are more efficient than competitive estimators in support of numerical and simulation study as well.

scholarly journals An Improvement in Estimation of Population Mean using Two Auxiliary Variables and Two- Phase Sampling Scheme under Non-Response

2021 ◽  
Author(s):  
Manoj K. Chaudhary ◽  
Amit Kumar
Keyword(s):  
Finite Population ◽  
Real Data ◽  
Sampling Scheme ◽  
Auxiliary Variables ◽  
Two Phase ◽  
Data Set ◽  
Population Mean ◽  
First Order ◽  
Phase Sampling ◽  
Two Phase Sampling

In the present paper, we have proposed some improved ratio and regression-type estimators of the finite population mean utilizing the information on two auxiliary variables in the presence of non-response. The two-phase sampling scheme has been used to accomplish the job of estimating the desired parameter. The expressions for the basic properties such as bias and mean square error (MSE) of the proposed estimators have been derived up to the first order of approximation. A comparative study of the proposed estimators with some existing estimators has also been carried out through a real data set.

Sign in / Sign up

Export Citation Format

Share Document