Almost Unbiased Estimator Using Known Value of Population Parameter(s) in Sample Surveys
نویسندگان
چکیده
منابع مشابه
Almost Unbiased Estimator Using Known Value of Population Parameter(s) in Sample Surveys
An almost unbiased estimator using known value of some population parameter(s) is proposed. Under simple random sampling without replacement (SRSWOR) scheme the expressions for bias and mean square error (MSE) are derived. Numerical illustrations are given.
متن کاملOn ratio and product methods with certain known population parameters of auxiliary variable in sample surveys
This paper proposes two ratio and product-type estimators using transformation based on known minimum and maximum values of auxiliary variable. The biases and mean squared errors of the suggested estimators are obtained under large sample approximation. Conditions are obtained under which the suggested estimators are superior to the conventional unbiased estimator, usual ratio and product estim...
متن کاملAn (almost) unbiased estimator for the S-Gini index∗
This note provides an unbiased estimator for the absolute S-Gini and an almost unbiased estimator for the relative S-Gini for integer parameter values. Simulations indicate that these estimators perform considerably better then the usual estimators, especially for small sample sizes. 1 The absolute and relative S-gini indices Assume that income is distributed according to a continuous and diffe...
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...
متن کاملRecovering population parameters from a single gene genealogy: an unbiased estimator of the growth rate.
We show that the number of lineages ancestral to a sample, as a function of time back into the past, which we call the number of lineages as a function of time (NLFT), is a nearly deterministic property of large-sample gene genealogies. We obtain analytic expressions for the NLFT for both constant-sized and exponentially growing populations. The low level of stochastic variation associated with...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Modern Applied Statistical Methods
سال: 2016
ISSN: 1538-9472
DOI: 10.22237/jmasm/1462076940