A Class of Exponential Chain Type Estimator for Population Mean With Imputation of Missing Data Under Double Sampling Scheme

2017 ◽  
Vol 6 (3) ◽  
pp. 479-485
Author(s):  
Abhishek Kumar ◽  
Ajeet Kumar Singh ◽  
Priyanka Singh ◽  
V. K. Singh
Keyword(s):  
Missing Data ◽  
Sampling Scheme ◽  
Double Sampling ◽  
Population Mean ◽  
Chain Type

scholarly journals Unbiased Estimation of Population Mean Using Lahiri-Midzuno-Sen Type Sampling Scheme

2020 ◽  
pp. 16-20
Author(s):  
Chandni Kumari ◽  
Ratan Kumar Thakur
Keyword(s):  
Random Sampling ◽  
Sampling Strategy ◽  
Simple Random Sampling ◽  
Sampling Scheme ◽  
Unbiased Estimation ◽  
Double Sampling ◽  
Order Of Approximation ◽  
Population Mean ◽  
First Order ◽  
Class Of Estimators

This paper considers the problem of estimating the population mean under double sampling. We have suggested the generalized class of estimators under Lahiri (1951) to Midzuno (1952) and Sen (1952) type sampling scheme and its properties are studied up to the first order of approximation. Further, we compare the proposed sampling strategy with some conventional estimators under the simple random sampling without replacement. On the basis of suitable range information, we give some concluding remarks related to propose sampling strategy. An empirical study is given in support of the present study.

scholarly journals ESTIMATION OF POPULATION VARIANCE IN LOG – PRODUCT TYPE ESTIMATORS UNDER DOUBLE SAMPLING SCHEME

2019 ◽  
pp. 11-20
Author(s):  
Prabhakar Mishra ◽  
Rajesh Singh ◽  
Supriya Khare
Keyword(s):  
Random Sampling ◽  
Auxiliary Information ◽  
Simple Random Sampling ◽  
Product Type ◽  
Sampling Scheme ◽  
Double Sampling ◽  
Population Variance ◽  
Population Mean ◽  
Ancillary Information

It is experienced that auxiliary information when suitably incorporated yields more efficient and precise estimates. Mishra et al. (2017) have introduced a log type estimator for estimating unknown population mean using ancillary information in simple random sampling. Here we propose an improved log-product type estimator for population variance under double sampling. Properties of the estimators are studied both mathematically and numerically.  

scholarly journals A Double Sampling Scheme for Process Mean Monitoring

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 6668-6677 ◽  
Author(s):  
Su-Fen Yang ◽  
Sin-Hong Wu
Keyword(s):  
Sampling Scheme ◽  
Double Sampling ◽  
Process Mean
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