A New Estimator of Population Mean in Stratified Sampling

DOI10.1080/03610920600629112zbMath1107.62012OpenAlexW2115282160MaRDI QIDQ3424153

Sat Gupta, Javid Shabbir

Publication date: 15 February 2007

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920600629112

zbMATH Keywords

biasratio estimatorstratified samplingMSE

Mathematics Subject Classification ID

Point estimation (62F10) Sampling theory, sample surveys (62D05)

Related Items (16)

An efficient exponential estimator of the mean under stratified random sampling ⋮ Improved Ratio and Product Exponential type Estimators for Finite Population Mean in Stratified Random Sampling ⋮ Modified regression estimators using robust regression methods and covariance matrices in stratified random sampling ⋮ Estimation of finite population mean in stratified sampling using scrambled responses in the presence of measurement errors ⋮ A Family of Estimators of Population Mean Using Auxiliary Information in Stratified Sampling ⋮ Multivariate ratio exponential estimators of the population mean under stratified double sampling ⋮ Some efficient classes of estimators under stratified sampling ⋮ Efficient separate class of estimators of population mean in stratified random sampling ⋮ Generalized exponential chain ratio estimators under stratified two-phase random sampling ⋮ Efficient classes of estimators in stratified random sampling ⋮ Improved Family of Ratio Estimators in Simple and Stratified Random Sampling ⋮ Efficient Ratio and Product Estimators in Stratified Random Sampling ⋮ Generalized classes of regression-cum-ratio estimators of population mean in stratified random sampling ⋮ Unnamed Item ⋮ An efficient class of estimators for the population mean using auxiliary information in systematic sampling ⋮ A parent-generalized family of chain ratio exponential estimators in stratified random sampling using supplementary variables

Cites Work

• Unnamed Item
• Ratio estimators in simple random sampling
• Efficient Utilization of Auxiliary Information at Estimation Stage
• Estimating Scale and Truncation Parameters for the Truncated Exponential Distribution with Type-I Censored Sampling
• The Utilization of a Known Coefficient of Variation in the Estimation Procedure

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