Restructured class of estimators for population mean using an auxiliary variable under simple random sampling scheme
نویسندگان
چکیده
منابع مشابه
A General Class of Estimators of a Finite Population Mean Using Multi-auxiliary Information under Two Stage Sampling Scheme
Abstract In sample surveys, it is usual to make use of auxiliary information to increase the precision of estimators. A general class of estimators is suggested to estimate the population mean for the variable under study in two stage sampling scheme. Some special cases of this class of estimators are considered and are compared by using a data set. It turns out that the newly suggested estimat...
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In this paper, we have derived difference, regression and predictor estimators for two-stage sampling with unequal first-stage units using multivariate auxiliary information. The mean square error of these estimators have been derived. A numerical illustration is given for finding the relative comparisons. 2003 Elsevier Inc. All rights reserved.
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A New Exponential Type Estimator for the Population Mean in Simple Random Sampling
In this paper, a new estimate of exponential type of auxiliary information to help simple random sampling without replacement of the finite population mean is introduced. This new estimator with a few other estimates using two real data sets are compared with the mean square error.
متن کاملEffect of Measurement Errors on a Class of Estimators of Population Mean Using Auxiliary Information in Sample Surveys
We consider the problem of estimation the population mean of the study variate Y in presence of measurement errors when information on an auxiliary character X is known. A class of estimators for population means using information on an auxiliary variate X is defined. Expressions for its asymptotic bias and mean square error are obtained. Optimum conditions are obtained for which the mean...
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ژورنال
عنوان ژورنال: Journal of Applied Mathematics, Statistics and Informatics
سال: 2020
ISSN: 1339-0015,1336-9180
DOI: 10.2478/jamsi-2020-0005