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the finite population mean under a two-phase sampling system. The Bias and Mean Square Error (MSE) of the proposed … exponential regression cum ratio estimator when compared using the cri- teria of bias, mean square error and percentage relative …
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Estimation techniques for a domain parameter play a very significant role in the theory of sample surveys. In the recent years many advanced methodologies have been developed for domain estimation. In particular, direct and synthetic estimators are applied for the estimation of domain mean in...
Persistent link: https://www.econbiz.de/10012582572
the mean displaying less relative bias and greater efficiency. Moreover, they prove more consistent than the existing …
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suggested estimators are assessed using constant, bias and mean square error. We also provided practical study for illustration … estimators in the literature when compared using bias and mean square error. …
Persistent link: https://www.econbiz.de/10012031052
This paper proposes an improved estimation method for the population coefficient of variation, which uses information on a single auxiliary variable. The authors derived the expressions for the mean squared error of the proposed estimators up to the first order of approximation. It was...
Persistent link: https://www.econbiz.de/10012158196
This paper addresses the problem of an alternative approach to estimating the population mean of the study variable with the help of the auxiliary variable under stratified random sampling. The properties of the suggested estimator have been studied under large sample approximation. It has been...
Persistent link: https://www.econbiz.de/10012183347
-generation process, the least-squares estimators have smaller bias (in fact zero bias) but larger variances in the long regression than … in the short regression. But if the long regression is also misspecified, the bias may not be smaller. We provide bias …
Persistent link: https://www.econbiz.de/10010532602
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