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[PDF] Top 20 Ratio Cum Product Estimator Using Multiple Auxiliary Attributes in Single Phase Sampling

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Ratio Cum Product Estimator Using Multiple Auxiliary Attributes in Single Phase Sampling

Ratio Cum Product Estimator Using Multiple Auxiliary Attributes in Single Phase Sampling

... 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

7

Ratio-Cum-Product Estimator using Multiple Auxiliary Attributes in Single Phase Sampling

Ratio-Cum-Product Estimator using Multiple Auxiliary Attributes in Single Phase Sampling

... of ratio-cum-product estimator for estimating population mean of study variable for single phase sampling using multi-auxiliary ...the estimator with ... See full document

7

Ratio-cum-product estimator using multiple auxiliary attributes in two-phase sampling

Ratio-cum-product estimator using multiple auxiliary attributes in two-phase sampling

... of 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

12

Ratio Cum Product Estimator Using Multiple Auxiliary Attributes in Two Phase Sampling

Ratio Cum Product Estimator Using Multiple Auxiliary Attributes in Two Phase Sampling

... of 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

12

Mixture Ratio Estimators Using  Multi Auxiliary Variables and Attributes for Two Phase Sampling

Mixture Ratio Estimators Using Multi Auxiliary Variables and Attributes for Two Phase Sampling

... 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 ... See full document

14

A new regression type estimator with two auxiliary variables for single-phase sampling

A new regression type estimator with two auxiliary variables for single-phase sampling

... the 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 ... See full document

9

Mixture Regression Estimators Using Multi-Auxiliary Variables and Attributes in Two-Phase Sampling

Mixture Regression Estimators Using Multi-Auxiliary Variables and Attributes in Two-Phase Sampling

... 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

13

A New Regression Type Estimator with  Two Auxiliary Variables for  Single Phase Sampling

A New Regression Type Estimator with Two Auxiliary Variables for Single Phase Sampling

... the 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 ... See full document

9

General Class of Ratio-Cum-Product Estimators in Two-Phase Sampling using Multi-Auxiliary Variables

General Class of Ratio-Cum-Product Estimators in Two-Phase Sampling using Multi-Auxiliary Variables

... of auxiliary variables in the estimation of the population parameter has, over the years, proved to be efficient and ...implement auxiliary information in the estimation of English population (human ... See full document

9

An Improved Estimator Of Finite Population Mean Using Auxiliary Attribute(S) In Stratified Random Sampling Under Non-Response

An Improved Estimator Of Finite Population Mean Using Auxiliary Attribute(S) In Stratified Random Sampling Under Non-Response

... an auxiliary variable has been widely discussed in finite population sampling ...mean using one auxiliary variable in the stratified random sampling and examined the MSE of the ... See full document

9

Improved Estimators of Population Mean Using Two Auxiliary Variables in Stratified random Sampling

Improved Estimators of Population Mean Using Two Auxiliary Variables in Stratified random Sampling

... random sampling. Singh (1967) and Perri (2007) suggested some ratio cum product estimators in simple random ...exponential ratio type ...random sampling with multiple ... See full document

8

An Alternative Ratio-Cum-Product Estimator of Finite Population Mean Using Coefficient of Kurtosis of Two Auxiliary Variates in Two-Phase Sampling

An Alternative Ratio-Cum-Product Estimator of Finite Population Mean Using Coefficient of Kurtosis of Two Auxiliary Variates in Two-Phase Sampling

... of ratio-cum-product estimator of finite population mean in double sampling when coefficient of variation and coefficient of kurtosis of auxiliary variable are ... See full document

10

Mixture Regression Cum Ratio Estimator Using Multi Auxiliary Variables and Attributes in Single Phase Sampling

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

11

Generalized Ratio Cum Product Estimators for Two Phase Sampling Using Multi Auxiliary Variables

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] ... See full document

13

Improved Modified Ratio Estimator for Estimating Population Mean in Double Sampling Using Information on Auxiliary Attribute

Improved Modified Ratio Estimator for Estimating Population Mean in Double Sampling Using Information on Auxiliary Attribute

... The use of auxiliary information can increase the precision of an estimator when study variable y is highly correlated with auxiliary variable x. There exist situations when information is available ... See full document

8

An Ecient Class of Estimators of Population Mean in Two-Phase Sampling Using Two Auxiliary Variables

An Ecient Class of Estimators of Population Mean in Two-Phase Sampling Using Two Auxiliary Variables

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

12

Dual to Ratio-Cum-Product Estimator in Simple and Stratified Random Sampling

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 ...as auxiliary information in sample survey design) results in efficient estimate of population parameters ... See full document

15

Mixture Regression Estimators Using  Multi Auxiliary Variables and Attributes  in Two Phase Sampling

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

13

An Improved Estimator of Population Mean using Information on Median of the Study Variable

An Improved Estimator of Population Mean using Information on Median of the Study Variable

... the auxiliary variables are the cultivated areas under wheat in 1971 and 1973 ...the auxiliary variable, in thousand for 20 jute ...proposed estimator, variances and mean squared errors of existing ... See full document

7

Estimation Approach to Ratio of Two Inventory Population Means in Stratified Random Sampling

Estimation Approach to Ratio of Two Inventory Population Means in Stratified Random Sampling

... final estimator as ratio has been developed whose bias and mean square errors are lesser than all previous estimators and percentage relative efficiency is given which is higher than previous ones, vide ... See full document

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