On linear regression and ratio–product estimation of a finite population mean

By Housila P. Singh, M. R. Espejo. 2003

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Improved Family of Ratio Estimators in Simple and Stratified Random Sampling (2013, background): “(ii) Second proposed estimator Singh and Espejo (2003) suggested the following estimator:”
Novel Log Type Class Of Estimators Under Ranked Set Sampling (2021, background): “Following Sisodia and Dwivedi (1981), Singh and Kakran (1993), Upadhyaya and Singh (1999) & Singh and Espejo (2003), Mehta and Mandowara (2016) suggested a class of ratio-cumproduct type estimators as ȳMM1 = Ȳ[m] ( μx + Cx X̄(m) + Cx ) ; ȳMM2 = Ȳ[m] ( μx + β2(x) X̄(m) + β2(x) ) ; ȳMM3 =…”
Double Sampling Ratio-product Estimator of a Finite Population Mean in Sample Surveys (2007, background): “For estimating the population mean Y ¯ of the study variate y , recently Singh & Ruiz Espejo (2003) considered an estimator of the ratio-product type given by where y ¯ and X ¯ are the sample means of y and x respectively based on a sample of size n out of the population of N units, ”