[PDF] Top 20 ALMOST UNBIASED ESTIMATOR FOR ESTIMATING POPULATION MEAN USING KNOWN VALUE OF SOME POPULATION PARAMETER(S)
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ALMOST UNBIASED ESTIMATOR FOR ESTIMATING POPULATION MEAN USING KNOWN VALUE OF SOME POPULATION PARAMETER(S)
... random sampling without replacement (SRSWOR). The auxiliary information has been used in improving the precision of the estimate of a parameter (See Cochran (1977), Sukhatme et. al. (1984) and the references cited ... See full document
14
Utilization of Some Known Population Parameters for Estimating Population Mean in Presence of Non-Response
... for estimating the population mean of the study variable with known value of some population parameter(s) of the auxiliary ...and mean squared error ... See full document
12
An Efficient Estimator Improving the Searls’ Normal Mean Estimator for Known Coefficient of Variation
... “Proposed Unbiased (Efficient) Estimator Of Normal Mean (PPDUEFFESTROMEAN)” of the normal population mean lies in trying to know it through an illustrative “Simulation Empirical ... See full document
5
Improved Modified Ratio Estimator for Estimating Population Mean in Double Sampling Using Information on Auxiliary Attribute
... It is well established in sample surveys that auxiliary information is often used to improve the precision of estimators of population parameters. Neyman ([Nay38]) was the first to propose double sampling. The use ... See full document
8
An exponential and log ratio estimator of population mean using auxiliary information in double sampling
... exponential estimator is been proposed for estimating average of study variable when the population parameter(s) information of second auxiliary variable is ...proposed estimator ... See full document
10
A Class of Ratio-Type Estimator Using Two Auxiliary Variables for Estimating The Population Mean With Some Known Population Parameters
... combination using two auxiliary variables with some known population mean of the study ...the mean square error of the proposed estimators are ...sample mean, Olkin (1958) ... See full document
12
An Efficient Ratio Type Predictive Estimator of Finite Population Mean using Known Median of the Study Variable
... that population mean of the study variable is unknown, however, the population median of the study variable may be ...exact value if we attempt to know the weight or basic salary of a person; ... See full document
6
Estimation of the Population Mean Using Paired Ranked Set Sampling
... the estimator for population mean based on RSS is at least as efficient as the esti- mator based on SRS with the same number of measurements even when there were ranking ...for estimating the ... See full document
7
Improved Ratio-Cum-Product Estimators of Population Mean Using Known Population Parameters of Auxiliary Variables
... When population parameters of the auxiliary variable are known, several estimators for population mean of study variable have been discussed in the ... See full document
7
Generalized Exponential-Cum-Exponential Estimator in Adaptive Cluster Sampling
... clustered population and proposed four unbiased estimators in adaptive cluster ...for estimating density of wintering water fowl and found that the efficiency is highest as compare to simple random ... See full document
22
Performance of Existing Biased Estimators and the Respective Predictors in a Misspecified Linear Regression Model
... (Ridge Estimator (RE), Almost Unbiased Ridge Estimator (AURE), Liu Estimator (LE), Almost Unbiased Liu Estimator (AULE), Principal Component Regression ... See full document
25
An improved ratio estimator of population mean at current occasion
... average value of the characteristic at the current taken on the previous occasion is retained and a few new units of the population are selected from the population to complete the ...is known ... See full document
8
An Improved Estimator of Population Mean using Information on Median of the Study Variable
... where population mean of the study variable is not known but the population median of the main variable under study is ...exact value but we get the information in terms of interval or ... See full document
7
A NEW MODIFIED RATIO ESTIMATOR FOR ESTIMATION OF POPULATION MEAN WHEN MEDIAN OF THE AUXILIARY VARIABLE IS KNOWN
... ratio estimator is less than the biases of all the 15 existing modified ratio ...the mean squared error of the proposed modified ratio estimator is less than the mean squared errors of all the ... See full document
9
Mixture Ratio Estimators Using Multi Auxiliary Variables and Attributes for Two Phase Sampling
... estimators using information on auxiliary attribute. They used known information of population proportion possessing an attribute (highly correlated with study variable ...ratio estimator in ... See full document
14
A FAMILY OF ESTIMATORS FOR ESTIMATING POPULATION MEAN IN STRATIFIED SAMPLING UNDER NON-RESPONSE
... Khoshnevisan et al. (2007) proposed a general family of estimators for population mean using known value of some population parameters in simple random sampling. The ... See full document
8
A Two-Parameter Ratio-Product-Ratio Type Exponential Estimator for Finite Population Mean in Sample Surveys
... proposed estimator T e ( ) , reduces to the Bahl and Tuteja (1991) ratio-type exponential estimator y Re defined at ...exponential estimator y Pe defined at ...proposed estimator T e ( ) , ... See full document
18
Modified Ratio and Product Estimators for Estimating Population Mean in Two-Phase Sampling
... well known that to estimate any parameter, a suitable estimator is the corresponding ...for estimating population mean, sample mean is the most appropriate ...is ... See full document
8
Modified Ratio Estimators of Population Mean Based on Ranked Set Sampling
... ratio-type estimator based on ranked set sampling (RSS) is proposed for estimating population mean using the known population parameters of auxiliary ...The mean ... See full document
5
Parametric Point Estimation of the Geeta Distribution
... same population that can be obtained. Assume that some characteristics of the elements in a population can be represented by a random variable X whose density is f X ( ) ⋅ ; θ , where the form of the ... See full document
9
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