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A General Family of Estimators for Estimating Population Mean in Systematic Sampling Using Auxiliary Information in the Presence of Missing Observations
Family of estimators Auxiliary information Mean square error Non-response Systematic sampling
2013/6/14
This paper proposes a general family of estimators for estimating the population mean in systematic sampling in the presence of non-response adapting the family of estimators proposed by Khoshnevisan ...
On the impossibility of constructing good population mean estimators in a realistic Respondent Driven Sampling model
impossibility constructing good population mean estimators realistic Respondent Driven Sampling model
2012/11/22
Current methods for population mean estimation from data collected by Respondent Driven Sampling (RDS) are based on the Horvitz-Thompson estimator together with a set of assumptions on the sampling mo...
A General Family of Estimators for Estimating Population Mean Using Known Value of Some Population Parameter(s)
Auxiliary information general family of estimators bias mean-squared error population parameter(s)
2010/4/26
A general family of estimators for estimating the population mean of the variable
under study, which make use of known value of certain population parameter(s), is proposed.
Under Simple Random Samp...
Estimation of Population Mean with Prior Information Using Scrambled Response Technique
Estimation Population Mean Prior Information Using Response Technique
2009/9/17
Estimation of Population Mean with Prior Information Using Scrambled Response Technique。
Dual of Ratio Estimators of Finite Population Mean Obtained on Using Linear Transformation to Auxiliary Variable
bias efficiency most efficient estimator preference region simple random sampling without replacement unbiased estimator variance
2009/3/6
The efficiencies of the ratio- type estimators have been increased by using linear transformation on auxiliary variable in the literature. But such type of estimators requires the additional knowledge...