[PDF] Top 20 Mixture Regression Cum Ratio Estimator Using Multi Auxiliary Variables and Attributes in Single Phase Sampling

... 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

... survey. Using this idea, Singh [5] proposed a multivariate expression of product estimator where the study variable was negatively correlated with the multi-auxiliary ...a ... See full document

... estimators using multiple auxiliary attribute in sin- gle- and double-phase ...The estimator had a smaller MSE compared to that of Jhajj, Sharma and Grover ...to ratio estimator ... See full document

... survey. Using this idea, Singh [5] proposed a multivariate expression of product estimator where the study variable was negatively correlated with the multi-auxiliary ...a ... See full document

... estimators using multiple auxiliary attribute in sin- gle and double phase ...The estimator had a smaller MSE compared to that of Jhajj, Sharma and Grover ...to ratio and ... See full document

... of using auxiliary information in survey sampling is as old as history of the survey ...where auxiliary information has been used to improve precision of an ...used auxiliary ... See full document

... study, using a linear combination of ratio estimator based on each auxiliary ...of using multi-auxiliary information in sample survey. Using this idea, Singh [5] ... See full document

... an estimator of finite population mean using a new regression type estimator with two auxiliary variables for single-phase sampling and investigated its ... 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

... estimators using ratio-cum-product estimation method with multi- auxiliary variables in two phase ...utilizing auxiliary variables ...of ratio or ... See full document

... of estimator(s) of population parameter(s). Ratio, product and regression methods are good examples in this ...of auxiliary. Use of coefficient of kurtosis of auxiliary variate has also ... See full document

... Double sampling is cost effective sampling design, and precision of ratio and regression estimates of study ...Double sampling increases if there is a high degree of correlation between ... 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

... 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

... paper, auxiliary information is used to determine an estimator of finite popu- lation total using nonparametric regression under stratified random ...nomial regression estimation to ... See full document

... pulation total. The ten strata were again joined together to form one huge stratum, index-wise sample of size 1000, was selected and then using Olkin’s model, the popula- tion total was estimated. The procedure ... See full document

... proposed estimator 𝐭𝐭 in comparison to y�, y� R , y� p , t 1 , t 2 , t 3 , t 4 , t 5 , t 6 , t 7 andt 8 , we calculated the percent relative efficiency of proposed estimator with respect to y�, y� R , y� p ... See full document

... proposed estimator ( s hgd 2 ) over the Regression-type estimator   s lrd 2 in double sampling, we take the empirical population considered in the literature (Source: Sukhatme & ... See full document

... The DS-EWMA control chart also shows more efficient results to traditional Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) control charts because they uses the information from two phase ... See full document

... random sampling is used to develop the efficient estimator to estimate the population parameters of stratified inventory items for characteristics under study is not homogeneous, vide for example Cochran ... See full document