A Class of Modified Ratio Estimators for Estimation of Population Variance
نویسندگان
چکیده
منابع مشابه
A Study on the Class of Chain Ratio–type Estimators
This paper considers the problem of estimating the population mean Ybar of the study variate Y using information on different parameters such as population mean $(bar{X})$, coefficient of variation $(C_x)$, kurtosis $beta_{2(x)}$, standard deviation $(S_x)$ of the auxiliary variate x and on the correlation coefficient, $rho$, between the study variate $Y$ and the auxiliary variate $...
متن کاملAn improved class of estimators for the population variance
In this paper by utilizing the information on the population mean of auxiliary variable, we proposed a new improved class of estimators for the population variance of the study variable. The large sample properties of proposed estimator have been studied up to the first order of approximation that is the mathematical expressions for the bias and mean square error (MSE) of the proposed class of ...
متن کاملAn improved class of estimators for nite population variance
We propose an improved class of estimators in estimating the nite population variance, using the auxiliary information. The expressions for the bias and mean squared error of the proposed class of estimators are derived up to the rst order of approximation. Some estimators are also derived from a proposed class by allocating the suitable values of known parameters and identi ed as particular me...
متن کاملImproved ratio-type estimators of finite population variance using quartiles
In this paper we have proposed some ratio-type estimators of finite population variance using known values of parameters related to an auxiliary variable such as quartiles with their properties in simple random sampling. The suggested estimators have been compared with the usual unbiased and ratio estimators and the estimators due to [2], [12, 13, 14] and [3]. An empirical study is also carried...
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 Applied Mathematics, Statistics and Informatics
سال: 2015
ISSN: 1336-9180
DOI: 10.1515/jamsi-2015-0006