Improved Exponential Type Estimators for Finite Population Mean in Stratified Random Sampling
نویسندگان
چکیده
منابع مشابه
A New Exponential Type Estimator for the Population Mean in Simple Random Sampling
In this paper, a new estimate of exponential type of auxiliary information to help simple random sampling without replacement of the finite population mean is introduced. This new estimator with a few other estimates using two real data sets are compared with the mean square error.
متن کاملImproved Exponential Estimator in Stratified Random Sampling
In this article we have considered the problem of estimating the population mean Y in the stratified random sampling using the information of an auxiliary variable x which is correlated with y and suggested improved exponential ratio estimators in the stratified random sampling. The mean square error (MSE) equations for the proposed estimators have been derived and it is shown that the prop...
متن کاملSeparate Ratio-type Estimators of Population Mean in Stratified Random Sampling
Separate ratio-type estimators for population mean with their properties are considered. Some separate ratio-type estimators for population mean using known parameters of auxiliary variate are proposed. The bias and mean squared error of the proposed estimators are obtained up to the first degree of approximation. It is shown that the proposed estimators are more efficient than unbiased estimat...
متن کاملImproved Exponential Type Estimators of Finite Population Mean under Complete and Partial Auxiliary Information
This paper proposes some improved exponential type estimators of finite population mean under simple random sampling and double sampling. Expressions for biases and mean squared errors of the proposed estimators are derived up to the first order of approximation. Theoretical and numerical comparisons are made to investigate the performances of the estimators. The proposed estimators always perf...
متن کاملA New Difference-Cum-Exponential Type Estimator of Finite Population Mean in Simple Random Sampling
Auxiliary information is frequently used to improve the accuracy of the estimators when estimating the unknown population parameters. In this paper, we propose a new difference-cum-exponential type estimator for the finite population mean using auxiliary information in simple random sampling. The expressions for the bias and mean squared error of the proposed estimator are obtained under first ...
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: Pakistan Journal of Statistics and Operation Research
سال: 2016
ISSN: 2220-5810,1816-2711
DOI: 10.18187/pjsor.v12i3.1172