L-Moments and calibration based variance estimators under double stratified random sampling scheme: an application of covid-19 pandemic

Calibration approach estimators in stratified sampling

Calibration is commonly used in survey sampling to include auxiliary information to increase the precision of the estimates of population parameter. In this paper, we newly propose various calibration approach ratio estimators and derive the estimator of the variance of the calibration approach ratio estimators in stratified sampling. r 2006 Elsevier B.V. All rights reserved.

Ratio estimators for the population variance in simple and stratified random sampling

We propose some ratio-type variance estimators using ratio estimators for the population mean in literature. We obtain mean square error (MSE) equations of proposed estimators and show that proposed estimators are more efficient than the traditional ratio estimator, suggested by [C.T. Isaki, Variance estimation using auxiliary information, Journal of the American Statistical Association 78 (198...

An Efficient Class of Chain Estimators of Population Variance under Sub-sampling Scheme

For estimating the population variance S y of study variable y, a class of chain estimators of S y has been proposed in the presence of two auxiliary variables x and z by using known information on population mean and variance of the second auxiliary variable z. In this proposed class, the second auxiliary variable z is directly highly correlated with the first auxiliary variable x, whereas the...

Optimal Calibration Estimators under Two-phase Sampling

Variance-Optimal Offline and Streaming Stratified Random Sampling

Stratified random sampling (SRS) is a fundamental sampling technique that provides accurate estimates for aggregate queries using a small size sample, and has been used widely for approximate query processing. A key question in SRS is how to partition a target sample size among different strata. While Neyman allocation provides a solution that minimizes the variance of an estimate using this sa...