[PDF] Top 20 Some generalized classes of double sampling regression type estimators using auxiliary information

... supplementary information on the auxiliary variable is not known then the dou- ble sampling ratio and regression strategies are very well ...biased double sampling ratio ... See full document

... In sampling theory, auxiliary information may be utilized at any of these three stages or by combining two or all of the three ...of auxiliary information in sample survey is bet- ter ... See full document

... of estimators using multiple auxiliary attribute in sin- gle and double phase ...and regression estimator which was generalization of Naik and Gupta [12] estimator in single and ... See full document

... The regression and ratio methods of estimation are two strongest pillars of sampling ...and regression estimation many interventions in terms of estimators with different structural and ... See full document

... the information on each of the population unit. Sampling is a very good alternative to overcome this ...of auxiliary information supplied by the auxiliary variable fulfills our aim to ... See full document

... Double sampling is cost effective sampling design, and precision of ratio and regression estimates of study ...variable. Double sampling increases if there is a high degree of ... See full document

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

... of auxiliary variable is always known to improve the performance of ...and regression estimators are the most common and widely discussed in sampling theory ...product estimators are ... See full document

... stage, estimators are sought to have good efficiency given that the model is ...assumed. Generalized regression estimators by [1] and [2] including linear regression estimators ... See full document

... used auxiliary information in single-phase sam- pling to develop the product estimator for estimation of population ...for using multi-auxiliary variables through a linear combination of ... See full document

... used auxiliary information in single-phase sam- pling to develop the product estimator for estimation of population ...for using multi-auxiliary variables through a linear combination of ... See full document

... (double) sampling. Using information on two auxiliary variables, two general classes of estimators have been suggested in two different situations of random non-response ... See full document

... between auxiliary attribute and study variable, Jhajj et al (2006) and Singh, et al (2008) defined ratio estimators of population mean when the priori information on auxiliary variable ... See full document

... ratio estimators under two-phase simple random sampling scheme when the study and auxiliary variables are negatively correlated using Data 4, 5 and 6 ... See full document

... surveys using multi-stage sampling the survey practitioner comes across more than one auxiliary variable either positively or negatively correlated with main variable (y) under study at different ... 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 ... See full document

... partial information case for a generalized ratio-cum-product estimator using multi- auxiliary variables in two phase ...𝑘 auxiliary variables all in full information ...ℎ ... See full document

... random sampling technique for inventory populations under ...means using auxiliary variable under stratified random sampling through generalized ratio type ... See full document

... for estimators 𝑡 𝑝𝑗 , j=11,…,20 at 𝛾 = 1 and 𝑡 𝑝𝑗 , j=20 at 𝛾 = ...the estimators are more efficient than the classical regression estimator(𝑡 2𝑙𝑟 ) because they have smaller MSE and higher ... See full document

... of double sampling was first proposed by Neyman [12] in sampling human populations when the mean of auxiliary variable(s) was ...the auxiliary variable for large samples. In most ... See full document