2015
DOI: 10.15446/rce.v38n2.51667
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A Note on Generalized Exponential Type Estimator for Population Variance in Survey Sampling

Abstract: Recently a new generalized estimator for population variance using information on the auxiliary variable has been introduced by Asghar, Sanaullah & Hanif (2014). In that paper there was some inaccuracy in the bias and MSE expressions. In this paper, we provide the correct expressions for bias and MSE of the Asghar et al. (2014) estimator, up to the first order of approximation. We also propose a new generalized exponential type estimator for population variance which performs better than the existing estimator… Show more

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Cited by 10 publications
(3 citation statements)
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“…This section consists of some well know existing estimators for comparison purpose. Reference 6 discuss usual unbiased median estimator , which is given by: The variance of , is given by: Reference 9 recommended ratio estimator, which is given by: The expressions of and are given by: The exponential ratio-type estimator is given by: The expressions of and are given by and The difference estimator, is given by: The optimum value of d is given by: The minimum at the optimum value is given by: Following 5 , 10 , 25 respectively, proposed some difference-type estimators , which is given by: At the optimum values of the bias of are given by At the optimum values of The minimum mean square error of are given by Reference 14 suggested the generalized difference-type estimator for population median, which is given by: where and are unidentified constants whose values are to be determined, and defined as unknown population parameters and , and …”
Section: Existing Counterpartsmentioning
confidence: 99%
“…This section consists of some well know existing estimators for comparison purpose. Reference 6 discuss usual unbiased median estimator , which is given by: The variance of , is given by: Reference 9 recommended ratio estimator, which is given by: The expressions of and are given by: The exponential ratio-type estimator is given by: The expressions of and are given by and The difference estimator, is given by: The optimum value of d is given by: The minimum at the optimum value is given by: Following 5 , 10 , 25 respectively, proposed some difference-type estimators , which is given by: At the optimum values of the bias of are given by At the optimum values of The minimum mean square error of are given by Reference 14 suggested the generalized difference-type estimator for population median, which is given by: where and are unidentified constants whose values are to be determined, and defined as unknown population parameters and , and …”
Section: Existing Counterpartsmentioning
confidence: 99%
“…Numerous researchers have contributed significantly to the exploration of regression, ratio, and exponential estimators employing both single and multiple auxiliary variables for the estimation of population variance. Among them, Olkin (1958), Cebrian and Garcia (2018), Upadhyaya and Singh (1983), Shabbir and Gupta (2015), Asghar et al (2014), Dubey and Sharma (2008), Abid et al (2020), Zaman et al (2021), andNiaz et al (2021) have all delved into the development of ratio estimators dedicated to the task of estimating population variance. In recent studies, Masood and Shabbir (2016), Singh and Pal (2017), and Adichwal and Singh (2018) have extended this exploration.…”
Section: Introductionmentioning
confidence: 99%
“…[7] utilized a single auxiliary variable to propose an estimator in population variance and provide more efficient results as compare to the ratio estimator. The studies related to the estimation of population variance have made by different authors such as [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%