[PDF] Top 20 Improved Estimators of Finite Population Variance using Unknown Weight of Auxiliary Variable

... of auxiliary information, being constant with unit (e.g. population variance, population mean, population standard deviation, ...type estimators for estimating the ... See full document

... the finite population U = ( U U 1 , 2 ...two auxiliary variables x 1 and x 2 are observed on U i ( i = 1, ...study variable y ...drawn using simple random sampling without replacement ... See full document

... the auxiliary information plays paramount role in developing and searching improved estimators of population parameters of the study ...The auxiliary information is used at both the ... See full document

... the population values and is used to predict the non-sampled ...of finite population. Well known estimators of population parameters encountered in the classical theory, as expansion, ... See full document

... different estimators of population variance utilizing the parameters of the auxiliary ...different estimators along with their bias, mean square error and ... See full document

... the auxiliary information at the estimation stage in order to improve the precision of an estimator of unknown population parameter of ...survey variable when auxiliary variables are ... See full document

... existing estimators having the highest Percentage Relative Efficiency hence can be applied to practical applications, where knowledge of population parameters of auxiliary variable is ... See full document

... the population mean in the presence of an auxiliary variable has been widely discussed in finite population sampling ...of estimators of the population mean using ... See full document

... that population mean of the study variable is unknown, however, the population median of the study variable may be ...the weight or basic salary of a person; however, we may get ... See full document

... a finite population U   u 1 , u 2 ...and auxiliary variable associated with each unit u j  j  1 , 2 , ...the population. Assume that the population of size, N, is stratified ... See full document

... to weight and transform various estimators by Prasad (1986) and Lui ...type estimators under weighting, transformation and model based approach, ...introduced estimators efficient than ... See full document

... of population variance in presence of random non-response are discussed on the assumption that either population mean or both population mean and variance of the auxiliary ... See full document

... both estimators y a and y aj have the same mean square error but from ...the estimators y a and y aj having the same mean square error, the jack-knifed estimator y aj may be preferred to the estimator y a ... See full document

... The present study propounded an improved class of estimators using multi-auxiliary information in successive sampling at both the design and the estimation stages. The proposed method is an ... See full document

... of estimators is proposed for estimating finite population mean of a sensitive variable in stratified random sampling with non-sensitive auxiliary variable based on randomized ... See full document

... In this simulation study is conducted to analyze the performance of the suggested estimators for proposed model. The comparison has been made by taking proposed mean estimator and Gupta et al. (2010). And the ... See full document

... the population mean X of auxiliary variables X is not known but X is correlated to another auxiliary variable Z whose population mean Z is known, then information on Z can be used to ... See full document

... the auxiliary variable instead of ...for population mean and ranking of the elements was observed on basis of the auxiliary ...unbiased estimators in RSS. [8] had also proposed unbiased ... See full document

... (auxiliary variable). The population was stratified into 4 strata base on political zones in the State which are Egba, Yewa, Ijebu and Remo with sizes 89, 91, 69 and 53 ...total population ... See full document

... It has been found and established that these newly modified ratio type estimators are more efficient than earlier Gupta and Yadav ([GY17]) existing ratio type estimators. They are respectively more ... See full document