Results 201 to 210 of about 150,322 (251)
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Ratio Estimators in Stratified Random Sampling
Biometrical Journal, 2003AbstractThis paper considers some ratio‐type estimators and their properties are studied in stratified random sampling. The results are supported by an application with original data.
Cem Kadilar
exaly +2 more sources
An improved estimation in stratified random sampling
Communications in Statistics - Theory and Methods, 2016ABSTRACTThe article suggests a class of estimators of population mean in stratified random sampling using auxiliary information with its properties. In addition, various known estimators/classes of estimators are identified as members of the suggested class.
Ramkrishna S. Solanki, Housila P. Singh
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Ratio estimators using stratified random sampling and stratified ranked set sampling
Life Cycle Reliability and Safety Engineering, 2018The aim of present study is to propose ratio estimators for the population mean using auxiliary information efficiently under stratified random sampling (SRS) and stratified ranked set sampling (SRSS). Here, bias and mean square error (MSE) for the proposed estimators have been obtained and find that the proposed estimator under SRSS is more efficient ...
Ashish Kumar, Monika Saini
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Stratified random sampling for power estimation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1998Cheng-Ta Hsieh
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2021
In case of simple random sampling without replacement, the sampling variance of the sample mean is \(V(\bar{y}_n)=\left( \frac{1}{n}-\frac{1}{N}\right) S^{2}_{y}\).
Raosaheb Latpate +3 more
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In case of simple random sampling without replacement, the sampling variance of the sample mean is \(V(\bar{y}_n)=\left( \frac{1}{n}-\frac{1}{N}\right) S^{2}_{y}\).
Raosaheb Latpate +3 more
openaire +2 more sources
On stratified randomized response sampling
Model Assisted Statistics and Applications, 2005In this paper, we propose a new quantitative randomized response model based on Mangat and Singh [7] two-stage randomized response model. We derive the estimator of the sensitive variable mean, and show that our method is more efficient than other randomized response models suggested by Greenberg et al. [3] and Gupta et al. [4] estimators.
Jea-Bok Ryu +3 more
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Calibration Weighting in Stratified Random Sampling
Communications in Statistics - Simulation and Computation, 2014A new calibration estimator is proposed to estimate the population mean in the stratified random sampling. The corrected expression of Tracy et al. (2003) calibrated weights are presented and new improved calibration weights are introduced. Theoretical variance of the suggested estimator is discussed.
Nursel Koyuncu, Cem Kadilar
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A general class of estimators in stratified random sampling
Communications in Statistics - Simulation and Computation, 2020In the present paper, a general class of estimators has been proposed for estimating the population mean of the study variable using auxiliary variable when the population mean of the auxiliary var...
Kuldeep Kumar Tiwari +2 more
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