Regression-Cum-Ratio Estimator
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] ...
11
Class of Difference Cum Ratio–Type Estimator in Double Sampling Using Two Auxiliary Variables with Some Known Population Parameters
... estimators. Ratio, product and regression estimators are the most common and widely discussed in sampling theory ...literature. Ratio and product estimators are not as efficient as regression ...
8
A Generalized Difference-cum-Ratio Type Estimator for the Population Variance in Double Sampling
... proposed estimator is more than the regression-type estimator and it is also more efficient than sample variance for wider range of at moderate value of correlation ...proposed estimator ...
5
Ratio-Cum-Product Estimator using Multiple Auxiliary Attributes in Single Phase Sampling
... to ratio, product and regression estimators which were generalization of Naik and Gupta [14] estimator in single and double phase sampling with full information, partial information and no ...to ...
7
Generalized Exponential-Cum-Exponential Estimator in Adaptive Cluster Sampling
... the ratio estimator, Dryver and Chao (2007) discussed classical ratio estimator in adaptive cluster sampling (ACS) and proposed two new ratio estimators under ACS, one of which is ...
22
Dual to Ratio-Cum-Product Estimator in Simple and Stratified Random Sampling
... and ratio of two population means are common in virtually all discipline and facet of ...conditions. Ratio, product and regression methods of estimation are good examples in this ...context. ...
15
An Alternative Ratio-Cum-Product Estimator of Finite Population Mean Using Coefficient of Kurtosis of Two Auxiliary Variates in Two-Phase Sampling
... Auxiliary information plays a very important role in improving the efficiencies of estimator(s) of population parameter(s). Ratio, product and regression methods are good examples in this context. ...
10
Ratio Cum Product Estimator Using Multiple Auxiliary Attributes in Single Phase Sampling
... to ratio, product and regression estimators which were generalization of Naik and Gupta [14] estimator in single and double phase sampling with full information, partial information and no ...to ...
7
Improvement Over General And Wider Class Of Estimators Using Ranked Set Sampling
... the estimator in (1.1) to the general class of estimator for the population mean proposed by Srivastava (1971), we suggest the following estimator for general class of estimator using ranked ...
5
Robustness of Modified Factor-Type Estimators under Non-Response Model
... as ratio of two means, population mean and variance when some observations are missing due to random non response has been discussed by Toutenberg and Srivastava ([TS98]), Singh and Joarder ([SJ98]), Singh ...
10
A Comparative Study of Generalized Ratio and Regression Estimators with their classical counterparts
... generalized ratio and regression estimators of Brewer, Horvitz and Thompson and Cassel-Sarandal and Wretman ...involves ratio and regression estimators along with the mean per unit ...
6
Regression Estimator for Adaptive Cluster Sample
... the regression estimator of an adaptive cluster sampling for the investigation of rare and clustered ...the regression estimator is that it can improve the degree of the estimator by ...
5
Ratio-cum-product type exponential estimator
... (5.9) It follows from (5.8) and (5.9) that the proposed class of estimators t RPe u ( ) is more efficient than usual unbiased estimator y and the ratio-cum-product type exponential estimator t ...
12
Ratio cum median based modified ratio estimators with known quartiles
... . Ratio estimator is used to improve the precision of the estimator based on sample mean by making use of the information of auxiliary variable which is positively correlated with that of the study ...
8
Generalized Ratio Cum Product Estimators for Two Phase Sampling Using Multi Auxiliary Variables
... 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] ...
13
2. New family of estimators using two auxiliary attributes
... traditional regression estimators using two auxiliary attributes for the condition ...the estimator presented here for the development of a new estimators in two-stage ...
6
TWO STAGE LIU REGRESSION ESTIMATOR
... the regression coefficients may be statistically insignificant or have the wrong sign, and they may result in wide confidence intervals for individual ...the regression parameters. One of the most popular ...
29
Modification of Ratio Estimator for Population Mean
... Table 5 shows the Percentage Relative Efficiency (PRE) of the proposed and some related estimators considered in the study for all the data sets I, II, and III. The results revealed that the proposed estimator has ...
5
The Two Feasible Seemingly Unrelated Regression Estimator
... multi- regression system equation, that proposed in original paper (1962) under general condition, and explored that the regression coefficient estimators are unbiased even without the orthogonally ...
7
An improved ratio estimator of population mean at current occasion
... meanusing ratio method of estimation when two phase sampling scheme is ...pooled estimator for population mean at the current occasions by using ratio type estimator involving a suitably ...
8