2021
DOI: 10.22237/jmasm/1608553620
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A Simple Random Sampling Modified Dual to Product Estimator for Estimating Population Mean using Order Statistics

Abstract: Bandopadhyaya (1980) developed a dual to product estimator using robust modified maximum likelihood estimators (MMLE’s). Their properties were obtained theoretically and supported through simulations studies with generated as well as one real data set. Robustness properties in the presence of outliers and confidence intervals were studied.

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Cited by 4 publications
(2 citation statements)
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“…This study employed a simple random sampling method, since according to (Standards, 2005;Harrison Oghenekevwe et al, 2020;Kumar and Chhaparwal, 2020), simple random sampling method ensures that the participants forming any target population have the same chance of being included in a sample.…”
Section: Sampling Methodsmentioning
confidence: 99%
“…This study employed a simple random sampling method, since according to (Standards, 2005;Harrison Oghenekevwe et al, 2020;Kumar and Chhaparwal, 2020), simple random sampling method ensures that the participants forming any target population have the same chance of being included in a sample.…”
Section: Sampling Methodsmentioning
confidence: 99%
“…A negatively correlated auxiliary variable is also generated taking inverse transformation of a positively correlated variable. Some recent papers highlighting useful theoretical results on the product method of estimation are Mandowara and Mehta [2], Kamba et al [3], Kumar and Chhaparwal [4], Brar et al [5], Kumar and Sharma [4], Sahoo et al [6] among others.…”
Section: Original Research Articlementioning
confidence: 99%