2020
DOI: 10.1080/03610926.2020.1725828
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An exponential family of median based estimators for mean estimation with simple random sampling scheme

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Cited by 22 publications
(13 citation statements)
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“…) X 2 = the table value of chi-square for 1 degree of freedom at the desired confidence level (3.841); N = the population size; P = the population proportion (assumed to be 0.50 since this would provide the maximum sample size); d = the degree of accuracy expressed as a proportion (.05). Table 2 above shows that more from ML-PHWs (136) than supervisors (28) were sampled using a simple random sampling technique (Shahzad, Al-Noor, Hanif & Sajjad, 2020). However, the response rate was 113 representing 68.9%, which is a good response seeing that much of the data was collected during Corona pandemic.…”
Section: Study Populationmentioning
confidence: 99%
“…) X 2 = the table value of chi-square for 1 degree of freedom at the desired confidence level (3.841); N = the population size; P = the population proportion (assumed to be 0.50 since this would provide the maximum sample size); d = the degree of accuracy expressed as a proportion (.05). Table 2 above shows that more from ML-PHWs (136) than supervisors (28) were sampled using a simple random sampling technique (Shahzad, Al-Noor, Hanif & Sajjad, 2020). However, the response rate was 113 representing 68.9%, which is a good response seeing that much of the data was collected during Corona pandemic.…”
Section: Study Populationmentioning
confidence: 99%
“…Literature on RSS has rapidly grown and several estimators, originally conceived for the SRS, have been re-proposed to estimate the mean of the study variable by changing their sampling design into RSS framework (Ali et al, 2021;Iqbal et al, 2020;Kadilar et al, 2009;Khan & Shabbir, 2016a, 2016b, 2016cMandowara & Mehta, 2013Pelle & Perri, 2018;Samawi & Muttlak, 1996;Singh et al, 2014;Vishwakarma et al, 2017). Motivated by these studies, and in line with many other contributions present in the literature section of this article, we propose an efficient generalized family of estimators by changing the sampling design of the estimator proposed by Shahzad et al (Shahzad et al, 2019).…”
Section: Introductionmentioning
confidence: 80%
“…In this study, we proposed generalized family of estimators under RSS to estimate the finite population mean motivated from Shahzad et al (Shahzad et al, 2019). The biases and MSEs of the proposed estimators were derived up to first order of approximation.…”
Section: Discussionmentioning
confidence: 99%
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