Transformation techniques have been used to increase the efficiency of estimators in sample surveys. In this paper, some classes population mean using transformation on an auxiliary variable and both study variables proposed under double sampling. We obtain biases square errors up first order approximation. A simulation application a rubber production dataset illustrate performance estimators. ...

This paper deals with the assessment of finite population mean. An estimator is suggested for estimation mean study variable. The purpose this to evolve a ratio-type enhance proficiency existing estimators considered in sample random sampling without replacement using information auxiliary Expressions bias and square error (MSE) proposed was derived by Taylor series method. efficiency condition...

Any experiment may he regarded as forming an individual of a “population” of experiments which might he performed under the same conditions. A series of experiments is a sample drawn from this population. Now any series of experiments is only of value in so far as it enables us to form a judgment as to the statistical constants of the population to which the experiments belong. In a greater num...

OBJECTIVE To examine the relation between the prevalence of deviation and the mean for the whole population in characteristics such as blood pressure and consumption of alcohol. DESIGN Re-examination of standardised data from the Intersalt study, an international, multicentre study on the determinants of blood pressure. SETTING AND SUBJECTS Samples of adults representing 52 populations in 3...

Given a sample from a finite population, we provide a nonparametric Bayesian prediction interval for a finite population mean when a standard normal assumption may be tenuous. We will do so using a Dirichlet process (DP), a nonparametric Bayesian procedure which is currently receiving much attention. An asymptotic Bayesian prediction interval is well known but it does not incorporate all the fe...

A generalized modified ratio estimator is proposed for estimating the population mean using the known population parameters. It is shown that the simple random sampling without replacement sample mean, the usual ratio estimator, the linear regression estimator and all the existing modified ratio estimators are the particular cases of the proposed estimator. The bias and the mean squared error o...