For the estimation of population mean a class of estimators has been proposed when the coefficient of variation is known and its efficiency is compared with the usual unbiased estimator and the estimators suggested by various researchers. The properties of the proposed class of estimators have been
Use of known Coefficients of Variation in the Estimation of the Common mean of two Normal Populations
โ Scribed by Dr. P. V. Dabli
- Publisher
- John Wiley and Sons
- Year
- 1981
- Tongue
- English
- Weight
- 206 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0323-3847
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โฆ Synopsis
Abstract
The problem of estimating the common mean of two normal populations N(ฯ, a1ฯ2) and N(ฯ, a2ฯ2) where the coefficients of variation of two populations respectively, are known constants, on the basis of two independent random samples, one from each population, is considered. The minimum mean square estimator is proposed. It is also shown that the proposed estimator is Best Asymptotic Normal (BAN) estimator. It is pointed out that the result can be generalized to k population problem. It is remarked that the same method works, also for the problem of estimating the common standard deviation of k normal populations when coefficients of variation are known.
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