[PDF] Top 20 Class of Difference Cum Ratio–Type Estimator in Double Sampling Using Two Auxiliary Variables with Some Known Population Parameters

... of two auxiliary variables in the estimation of the population mean of the variable ...the population means of the two auxiliary variables are ...the ... See full document

... known population parameters such as coefficient of variation, coefficient of kurtosis, coefficient of skewness and correlation coefficient and they are approximately equal to the MSE of 𝑡 𝑝𝑗 at t 1 ... See full document

... types. Some are “memory control charts” and other are “memory-less control ...memory type charts are used for dealing with small size ...acquire some information about some other variable(s) ... See full document

... the ratio estimators do not work efficiently under situations when the relationship is not linear between the auxiliary and study ...and ratio estimators proposed by (Bahl & Tuteja, ... See full document

... a ratio-cum-product type estimator of finite population mean using known coefficient of kurtosis and median of auxiliary variable has been ...proposed ... See full document

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

... classical ratio and product estimators which were studied in case of post stratification by Ige and Tripathi ...proposed ratio and product type exponential estimators in case of ...proposed ... See full document

... survey sampling, the estimation of population variance of the variable under study has attracted the attention of large number of statisticians to know the variation in the ...well known that the use ... See full document

... estimators using information on auxiliary attribute. They used known information of population proportion possessing an attribute (highly correlated with study va- riable ...the ... See full document

... generalized difference-cum-ratio type of median estimator in double sampling using information on two auxiliary variables for the finite ... See full document

... estimators using information on auxiliary attribute. They used known information of population proportion possessing an attribute (highly correlated with study va- riable ...the ... See full document

... a class of estimators for the population mean in two-phase sampling using two auxiliary ...proposed class of estimators outperforms as compared to the Vishwakarma ... See full document

... among variables. Though many authors have derived regression estimator on double sampling by making use of auxiliary variables without stratification and obtained their ... See full document

... that auxiliary information is often used to improve the precision of estimators of population ...propose double sampling. The use of auxiliary information at the estimation stage ... See full document

... Auxiliary variables have been used to increase precision of estimators especially in regression and ratio estimators ...where some information on the survey variable might be missing ... See full document

... proposed ratio and product type exponential estimators while Singh and Vishwakarma [12] extended the exponential ratio and product type estimators to double-phase ...a class of ... See full document

... proposed ratio and product type exponential estimators while Singh and Vishwakarma [12] extended the exponential ratio and product type estimators to double-phase ...a class of ... See full document

... Y) using a simple random sampling without replacement (SRSWOR) ...the population means of the auxiliary and the study variables, and let x and y be the corresponding sample ...of ... See full document

... jack-knifed estimator y aj is zero and both 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 in the presence of ... See full document

... a class of estimators based on information of two auxiliary ...proposed class of estimators are derived in a general ...proposed class of estimators is always more efficient than ... See full document