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An Efficient Regression Type Estimator in Survey Sampling

✍ Scribed by Parvinder Kaur


Publisher
John Wiley and Sons
Year
1985
Tongue
English
Weight
190 KB
Volume
27
Category
Article
ISSN
0323-3847

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✦ Synopsis


For the estimation of population mean in simple random sampling, an efficient regression-type estimator is proposed which is more efficient than the conventional regression estimator and hence than mean per unit estimator, ratio and product estimators and many other estimators proposed by various authors. Some numerical examples are included for illustration.


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This paper proposes a class of estimators for estimating the finite population mean " Y of a study variate y using information on two auxiliary variates, one of which is positively and the other negatively correlated with the study variate y. An Βͺasymptotically optimum estimatorΒΊ (AOE) in the class