Add to ORKGIn this paper, we have defined the biases and mean square errors of the two-phase sampling ratio and regression estimators in bootstrap and jackknife methods. From an empirical investigation, in the line of Reich et al. (1993), the ratio and regression estimators are compared using the classical, bootstrap and jackknife techniques
Three re-sampling techniques are used to estimate the survival probabilities from an exponential lif...
Variance estimation techniques for nonlinear statistics, such as ratios and regression and correlati...
In this article, the most recent results in resampling methods in regression analysis are reviewed. ...
In this paper, we have defined the biases and mean square errors of the two-phase sampling ratio and...
In this paper, we have defined the biases and mean square errors of the two-phase sampling ratio and...
Not AvailableTwo new Jackknife methods, as the counterparts of two existing Bootstrap methods of var...
Abstract: When the variable of interest is relatively expensive to measure and a correlated auxiliar...
We propose a jackknife variance estimator for the pop-ulation average from two, two-phase samples af...
This report compares the bootstrapping to jacknifing statistical procedures in terms in bias, confid...
This report compares the bootstrapping to jacknifing statistical procedures in terms in bias, confid...
Abstract: In this paper, the hierarchical ways for building a regression model by using bootstrap an...
Quenouille has developed a procedure, later termed the jackknife by Tukey, for reducing the bias of ...
No Abstract.Global Journal of Pure and Applied Sciences Vol. 14 (2) 2008 pp. 217-22
AbstractB. Efron introducedjackknife-after-bootstrapas a computationally efficient method for estima...
The technique of jackknife is applied to a general class of estimators. Considering a natural popula...
Three re-sampling techniques are used to estimate the survival probabilities from an exponential lif...
Variance estimation techniques for nonlinear statistics, such as ratios and regression and correlati...
In this article, the most recent results in resampling methods in regression analysis are reviewed. ...
In this paper, we have defined the biases and mean square errors of the two-phase sampling ratio and...
In this paper, we have defined the biases and mean square errors of the two-phase sampling ratio and...
Not AvailableTwo new Jackknife methods, as the counterparts of two existing Bootstrap methods of var...
Abstract: When the variable of interest is relatively expensive to measure and a correlated auxiliar...
We propose a jackknife variance estimator for the pop-ulation average from two, two-phase samples af...
This report compares the bootstrapping to jacknifing statistical procedures in terms in bias, confid...
This report compares the bootstrapping to jacknifing statistical procedures in terms in bias, confid...
Abstract: In this paper, the hierarchical ways for building a regression model by using bootstrap an...
Quenouille has developed a procedure, later termed the jackknife by Tukey, for reducing the bias of ...
No Abstract.Global Journal of Pure and Applied Sciences Vol. 14 (2) 2008 pp. 217-22
AbstractB. Efron introducedjackknife-after-bootstrapas a computationally efficient method for estima...
The technique of jackknife is applied to a general class of estimators. Considering a natural popula...
Three re-sampling techniques are used to estimate the survival probabilities from an exponential lif...
Variance estimation techniques for nonlinear statistics, such as ratios and regression and correlati...
In this article, the most recent results in resampling methods in regression analysis are reviewed. ...