Multiple Auxiliary Variables
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] ...
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Mixture Ratio Estimators Using Multi Auxiliary Variables and Attributes for Two Phase Sampling
... on auxiliary variables and attributes simultaneously in two-phase sampling under full, partial and no information cases and analyzed the properties of the estima- ...using multiple auxiliary ...
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Mixture Regression Estimators Using Multi-Auxiliary Variables and Attributes in Two-Phase Sampling
... of auxiliary variable was ...using multiple auxiliary ...the auxiliary variate for large ...two auxiliary variables for ...both auxiliary variables was not ...
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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] ...
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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] ...
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The Pitfalls Of Multiple Dummy Variables In A Regression
... dummy variables such as ...dummy variables is very convenient in a lot of situations, the results may deviate from what we ...dummy variables is the same as the model with one dummy ...
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Modified Factor-Type Estimators with Two Auxiliary Variables under Two-Phase Sampling
... y y and other related ratio estimators under two-phase simple random sampling scheme when the study and auxiliary variables are negatively correlated using Data 4, 5 and 6 respectively. These properties ...
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Employers’ recruitment of disadvantaged groups: exploring the effect of active labour market programme agencies as labour market intermediaries
... indices and marginal effects alike, it was a far less important predictor of recruitment from disadvantaged groups than other independent variables. Hypothesis 2 was fully supported, as large enterprises in the UK ...
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Improved generalized family of estimators of population mean using information on transformed auxiliary variables
... the auxiliary variable (x,z), such as standard variations ( S x , S z ) ,coefficients of variation ( C x , C z ) ,coefficient of skewness ( 1 ( ) ( ) x , 1 z ) , coefficients of kurtosis ( 2 ( ) ( ) x , 2 ...
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Improved Estimators of Population Mean Using Two Auxiliary Variables in Stratified random Sampling
... approximation. Kadilar and Cingi (2003), Singh, H.P. et. al. (2008), Singh and Vishwakarma (2008), Singh, R.et al. (2008), Koyuncu and Kadilar (2009) proposed estimators in stratified random sampling. Singh (1967) and ...
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A Class of Exponential Ratio Estimators of Finite Population Mean Using Two Auxiliary Variables
... estimators of proposed class are more efficient than the usual estimator, regression estimator using two auxiliary variable, traditional multivariate estimator using two auxiliary variable t MR , estimator ...
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An Ecient Class of Estimators of Population Mean in Two-Phase Sampling Using Two Auxiliary Variables
... the auxiliary information either at selection stage or on estimation stage, or at both stages, to improve precision of the estimators of the population ...the auxiliary variable at the estimation stage are ...
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A System of Estimators of the Population Mean under Two-Phase Sampling in Presence of Two Auxiliary Variables
... Kiregyera (1980, 1984), Srivenkataramana and Tracy (1989), Srivastava et al. (1990), Sahoo and Sahoo (1993) and Mishra and Rout (1997), Singh (2008), Hanif (2009), Dash and Mishra (2011), Vishvakarma and Kumar (2014), ...
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Visualizing Multiple Variables Across Scale and Geography
... other variables in ...two variables with the weakest global correlations show clear and different local pat- terns (‘rent private’ and ‘semi-detached’), whilst ‘detached’ has a very strong global ...
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GRASP A New Search Algorithm for Satisfiability
... One solution to the second drawback is a simple modification to the conflict diagnosis engine that guarantees the worst case growth of the clause database to be polynomial in the number of variables. The main idea ...
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Survey Estimation Under Informative Non Response with Follow up
... The second variant attempts to model the actual response variable of interest ( R ) by imputing values for the unobserved Y values associated with the initial non-respondents who were not followed-up. Details of the ...
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Ready Queue Mean Time Estimation in Lottery Scheduling using Auxiliary Variables in Multiprocessor Environment
... Suppose P 1 , P 2 , P 3 ......... P N processes present in the ready queue of size N and until breakdown occurs, n processes (n<N) have already processed in random manner through lottery scheduling by k processors. ...
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Multiple Fractional Response Variables with Continuous Endogenous Explanatory Variables
... Here I develop an estimation method for multiple fractional responses with endoge- nous explanatory variables. In the model, I allow a continuous endogenous explanatory variable to be correlated with an ...
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Improvement on estimating median for finite population using auxiliary variables in double-sampling
... estimators for all five different data sets. From the graphical representation of 𝑃𝑅𝐸 clearly stated that the suggested median estimator in two-phase sampling scheme using two auxiliary variables is more ...
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Auxiliary variables in multiple imputation in regression with missing X: a warning against including too many in small sample research
... studies [45]. Problems of including quadratic or inter- action effects were examined by Seaman et al. [46] and van Buuren [42]. (4) In large surveys where thousands of cases are collected, even large numbers of ...
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