## 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 mi
On the Estimation of the Population Mean with Known Coefficient of Variation
โ Scribed by Dr. L. N. Upadhyaya; H. P. Singh
- Publisher
- John Wiley and Sons
- Year
- 1984
- Tongue
- English
- Weight
- 285 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
โฆ Synopsis
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 also discussed in the case of normal population.
๐ SIMILAR VOLUMES
## Summa y Following SEN & GEBI~ (1975) an estimator for the population mean on the current occasion is proposed. It has been shown that the estimator is more efficient than 'mean per unit estimate' for all kind of populations. The eetimatiors suggeated by SEN & GERIG (1976) and SEABM (1964) are ,
When stratified random sampling ia used for the estimation of population mean, use of 'Combined ratio estimator' is well known. Some improved estimatore for population mean are proposed which are better than 'Combined ratio estimator' and mme other well known existing ones, from the point of view of