[PDF] Top 20 Mixture Regression Estimators Using Multi Auxiliary Variables and Attributes in Two Phase Sampling

... The Mixture Regression estimators in full information case using multiple auxiliary variables and attributes are more efficient than mean per unit, Regression estimator using one auxilia[r] ... See full document

... developed estimators of finite population mean using Mixture Regression estimators using multi-auxiliary variables and attributes in ... See full document

... double sampling was first proposed by Neyman [1] in sampling human populations when the mean of auxiliary variable was ...to multi-phase by Robson ...and regression ... See full document

... ratio-cum-product estimators to multi-auxiliary variables while Rao and Mudholkar [9] considered a multivariate estimator based on a weighted sum of single ratio and product es- ...suggested ... See full document

... on two variables in two-phase sampling has been widely used at estimation stage in order to inflate the precision of the ...and regression estimators of 𝑌, the mean 𝑋 of ... See full document

... an auxiliary variable while Jhajj, Sharma and Grover [9] proposed a general family of estimators using information on auxiliary ...the auxiliary variables are not available ... See full document

... ratio-cum-product estimators for estimating pop- ulation mean of study variable for two-phase sampling using multi-auxiliary attributes for full in- formation, ... See full document

... exponential estimators while Singh and Vishwakarma [12] extended the exponential ratio and product type estimators to double-phase ...ratio-product estimators in single-phase ... See full document

... of estimators using multiple auxiliary attribute in sin- gle and double phase ...and regression estimators which were generalization of Naik and Gupta [14] estimator in single ... See full document

... Multiphase sampling has been the concept not being utilized is estimation of ratio and regression estimator ...of sampling survey of estimations by proposing two generalized p-phase ... See full document

... chain regression type estimator was first introduced by Swain ...and regression type estimators based on two auxiliary variables in two-phase ...and ... See full document

... in sampling theory. Auxiliary variables are commonly used in sample survey practices to obtain improved designs and to achieve higher precision in the es- timates of some population parameters such ... See full document

... estimator using multi- auxiliary variables in two phase ...𝑘 auxiliary variables all in full information ...ℎ auxiliary variables in full information ... See full document

... double sampling is necessary if the value of auxiliary variable is obtained by performing a non- destructive experiment whereas to obtain a value of study variable of a unit, a destructive experiment has to ... See full document

... According to Table 1 the proposed Ratio-cum-product estimator using multiple auxiliary variables in two phase sampling has the highest Percent relative efficiency compared to mean per un[r] ... See full document

... Conclusion According to Table 1, the proposed mixture regression-cum-ratio estimator using multiple auxiliary variables and attributes using multiple auxiliary variables and attributes h[r] ... See full document

... of sampling judicious use of auxiliary information to develop efficient estimators is a long ...and auxiliary variable x are positively ... See full document

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

... Mean Using Information On Auxiliary Attribute, Book on “Auxiliary information and a priori values in construction of improved estimators” ,Renaissance High Press, Ann, Arbor, USA,1 st Edition ... See full document

... the DS-EWMA control chart performs better than existing EWMA and CUSUM control chart. It is also observed that the DS-EWMA control chart out performs to DS-Shewhart in detection of outliers. A real life application for ... See full document