Study of Dual to Ratio-Cum-Product Estimator of Finite Population Mean under Double Sampling in Sample Surveys [PDF]
A class of estimator based on dual to ratio and dual to product-type estimator in double sampling for estimating finite population mean is proposed. The bias and mean square error of the proposed estimator are obtained in two different cases.
Sanjib Choudhury, Bhupendra Kumar Singh
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Methods of sample adjustment. Improving the quality of survey results [PDF]
Statistical surveys, however well designed, often find that the resulting sample structure does not always reproduce the population structure accurately.In order to get more accurate estimators for the variables of interest, several methods of sample ...
Alina BARBU
doaj
Estimation of the current population total for a four-phase sampling design
The combined ratio-type estimators of the finite population total and their variances in the case of sample rotation for two-phase and four-phase sampling schemes are constructed in the paper.
Viktoras Chadyšas +1 more
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Optimized inferences of finite population mean using robust parameters in systematic sampling.
In this article, we have proposed a generalized estimator for mean estimation by combining the ratio and regression methods of estimation in the presence of auxiliary information using systematic sampling.
Nazia Shaheen +3 more
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Efficient neutrosophic exponential estimators for accurate population mean estimation in simple random sampling [PDF]
Neutrosophic statistics extend the classical statistical methods by incorporating elements of indeterminacy and provide a powerful tool for handling imprecision and uncertainty in data. The objective of this paper is to introduce the efficient neutrosophic
Anoop Kumar, Priya Priya
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An alternative ratio-cum-product estimator of population mean using the coefficient of kurtosis for two auxiliary variates has been proposed. The proposed estimator has been compared with a simple mean estimator, the usual ratio estimator, a product ...
Rajesh Tailor +2 more
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An Unbiased Estimator of Finite Population Mean Using Auxiliary Information
In this paper, an unbiased estimator is constructed by using a linear combination of an estimator of study variable and mean per unit estimator of an auxiliary variable under simple random sampling without replacement scheme.
B. Mahanty, G. Mishra
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A new exponential ratio-type estimator with linear combination of two auxiliary variables. [PDF]
In sample surveys, it is usual to make use of auxiliary information to increase the precision of estimators. We propose a new exponential ratio-type estimator of a finite population mean using linear combination of two auxiliary variables and obtain mean
Jingli Lu, Zaizai Yan, Xiuyun Peng
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Contrastive Neural Ratio Estimation
Likelihood-to-evidence ratio estimation is usually cast as either a binary (NRE-A) or a multiclass (NRE-B) classification task. In contrast to the binary classification framework, the current formulation of the multiclass version has an intrinsic and unknown bias term, making otherwise informative diagnostics unreliable.
Benjamin Kurt Miller +2 more
openaire +4 more sources
Estimation of employed persons in the case of sample rotation
The aim of the paper – to investigate effectiveness of the ratio estimator in the labour force survey in the case of the simple random sampling with rotation.
Viktoras Chadyšas +1 more
doaj +1 more source

