[PDF] Top 20 Some improved modified ratio estimators based on decile mean of an auxiliary variable

... efficient estimators for the population mean has been widely discussed by Several researcher such as Cochran (1940), Kadilar and Cingi (2004, 2006)), Murthy (1967), Rao (1991), Singh and Tailor (2003), ... See full document

... of auxiliary variable improves the performance of ratio ...classical ratio estimator by (Cochran 1977, p151), many authors have suggested some ratio type estimators with ... See full document

... with some ratio cum median based modified ratio estimators for estimating the finite population mean with the linear combinations of known parameters of the ... See full document

... of estimators based on information of two auxiliary ...of mean square errors of the proposed class of estimators are derived in a general ...of estimators is always more ... See full document

... of auxiliary information can increase the precision of an estimator when study variable y is highly correlated with auxiliary variable ... See full document

... population mean of the study variable on the basis of selecting a random sample } of N distinct and identifiable denote the study (auxiliary) variable taking .... Ratio estimator is ... See full document

... proposed estimators were obtained by transforming [S+18] ...and Mean Square Errors (MSEs)) of the proposed estimators have been obtained and the conditions for their efficiencies over some ... See full document

... the mean squared errors and the constants of the remaining 10 modified ratio estimators ̅̂ ̅̂ listed in the Table ...proposed modified ratio estimator and are given below: ... See full document

... 13. Singh, R., Kumar, M., Singh, R.D., and Chaudhary, M.K. (2008): Exponential Ratio Type Estimators in Stratified Random Sampling. (Proceedings of International Symposium on Optimisation and Statistics ... See full document

... of estimators as given by Kadilar and Chingi ...population mean of the auxiliary variable is known beforehand, we also assume that the relation between X and Y is positive and approximately ... See full document

... (2012) estimators t 11 and Singh et al’s (2009) estimator t 14 are less efficient than the estimators t 6 , t 7 , t 9 , t 12 , t 13 and t 15 at their optimum ...of estimators based on two ... See full document

... population mean, sample mean is the most appropriate ...sample mean. This is achieved through the use of an auxiliary variable that has strong positive or negative correlation with the ... See full document

... The ratio estimator given in (1) is used for improving the precision of the estimate of the population mean as compared to usual sample mean estimator whenever a positive correlation exists between ... See full document

... a modified ratio type estimator for population variance of the study variable y under simple random sampling without re- placement making use of coefficient of kurtosis and median of an ... See full document

... using auxiliary variable through optimally searching developed class of modified ratio type estimators of population mean of the study ...of estimators of population ... See full document

... two variable sample of size n taken from bivariate variable (X,Y) through simple random sampling without sampling ...the auxiliary and the study variable respectively, and let 𝑥̅ and 𝑦̅ be ... See full document

... also improved mean estimation utilizing information from a non-sensitive auxiliary variable by way of ratio and regression estimators in the proposed ... See full document

... of auxiliary variable and proposed improved ratio type estimators of population mean, Yan and Tian (2010), suggested the estimators of population mean using ... See full document

... developed improved estimators using ratio-cum-product estimation method with multi- auxiliary variables in two phase ...These estimators satisfied the full, no and partial information ... See full document

... with some ratio cum median based modified ratio estimators forestimating the finite population mean with the linear combinations of known parameters of the ... See full document