Efficient transformed ratio-type estimator using single auxiliary information
Kuwait Journal of Science, 2021 This paper purposes an efficient transformed ratio-type estimator for the estimation of population variance of study variable (y) by utilizing single auxiliary information (x) under simple random sampling without-replacement.
Sana Amjad, Ismail Muhammad
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Engineering Proceedings, 2023 Ratio product estimators have been proposed by several authors for the estimation of the population mean and population variance, but very few authors have proposed ratio product estimators for the estimation of the population coefficient of variation ...
Yahaya Zakari +5 more
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A Class of Exponential Regression Type Estimators for Population Variance in Two-Phase Sampling [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 This article deals with the problems of efficient estimation of population variance in two-phase (double) sampling. Using information on two auxiliary variables, a class of chain exponential to regression type estimators has been proposed and its ...
A. Chatterjee +2 more
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Improved procedures for mean estimation under non-response
Alexandria Engineering Journal, 2022 In this paper, two generalized class such as ratio to exponential and the difference type of estimators have been proposed for estimating the finite population mean by utilizing information on higher order moments of an auxiliary variable in the two ...
Ashok K. Jaiswal +2 more
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Dexterous Estimation of Population Mean in Survey Sampling Under Non-Response Error [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2019 In this scripture, we ponder the problem of efficient estimation of population mean of study variable utilizing information on highly correlated auxiliary variables under the presence of non-response on either of the variables.
S. K. Yadav, O. P. Yadav, D. K. Yadav
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Efficient Utilization of Auxiliary Information on Estimation of Population Mean Using Exponential Type Estimators in Successive Sampling [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 This paper advocates the problem of estimating the population mean on the current occasion in two occasion successive (rotation) sampling under the transformed auxiliary variable using exponential method of estimation.
Surya K. Pal, Housila P. Singh
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Predictive Estimation of Finite Population Mean in Case of Missing Data Under Two-phase Sampling
Journal of Statistical Theory and Applications (JSTA), 2023 The present paper deals with the problem of estimation of finite population mean of study variable using two auxiliary variables in two-phase sampling scheme using predictive approach in case of missing values of the study variable and unknown population
Lovleen Kumar Grover, Anchal Sharma
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A chain ratio exponential type estimator in two-phase sampling using auxiliary information
Statistica, 2014 This paper advocates the problem of estimating the population mean of the study variable y using the information on two auxiliary variables x and z. We have suggested the family of chain ratio exponential type estimators in two-phase (or double) sampling.
Rohini Yadav +3 more
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Natural convection of Al2O3-water nanofluid with variable properties in a square enclosure with heat source and heat sink on the vertical walls [PDF]
مجله مدل سازی در مهندسی, 2017 The buoyancy-driven fluid flow and heat transfer in a square cavity with partially active side walls filled The buoyancy-driven fluid flow and heat transfer in a square cavity with partially active side walls filled which the length is equal to half of ...
G.A. Sheikhzadeh +3 more
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Neutrosophic Ranked Set Sampling Scheme for Estimating Population Mean: An Application to Demographic Data [PDF]
Neutrosophic Sets and SystemsThe primary goal of this study is to address the limitations of classical statistics in handling ambiguous or indeterminate data. The best alternative to classical and fuzzy statistics for handling such data uncertainty is neutrosophic statistics, which ...
Rajesh Singh , Anamika Kumari
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