Add to ORKGA new resampling method is introduced to generate virtual data through a smoothing technique for replenishing small samples. The replenished analyzable sample retains the statistical properties of the original small sample, has small standard errors and possesses adequate statistical power
In sampling finite populations, several resampling schemes have been proposed. The common starting po...
The issues of estimation accuracy and statistical power in multiple regression with small samples ha...
This paper describes the use of resampling technique in validity testing and reliability testing tha...
A new resampling method is introduced to generate virtual data through a smoothing technique for rep...
A new resampling method is introduced to generate virtual data through a smoothing technique for rep...
First, concepts of different types of resampling will be introduced with simple examples. Next,..sof...
Resampling (typically, but not necessarily, bootstrapping) is a well-known stochastic technique for ...
Resampling methods [1–4], also called Out-of-Sample methods, are favoured by practitioners beca...
This article concentrates on one of the newer techniques, namely, resampling, and attempts to addres...
This article discusses some resampling techniques that have found widespread application in survey ...
Resampling methods are a common measure to estimate the variance of a statistic of interest when dat...
In this paper, resampling techniques based on pseudo-populations in the presence of a general πps sa...
A resampling technique for probability-proportional-to size sampling designs is proposed. It is ess...
Comparing time series is an important and common problem. Most results are asymptotic because it is ...
With the advent of high-speedpersonal computers, resamplingprocedures are now a realistic alternativ...
In sampling finite populations, several resampling schemes have been proposed. The common starting po...
The issues of estimation accuracy and statistical power in multiple regression with small samples ha...
This paper describes the use of resampling technique in validity testing and reliability testing tha...
A new resampling method is introduced to generate virtual data through a smoothing technique for rep...
A new resampling method is introduced to generate virtual data through a smoothing technique for rep...
First, concepts of different types of resampling will be introduced with simple examples. Next,..sof...
Resampling (typically, but not necessarily, bootstrapping) is a well-known stochastic technique for ...
Resampling methods [1–4], also called Out-of-Sample methods, are favoured by practitioners beca...
This article concentrates on one of the newer techniques, namely, resampling, and attempts to addres...
This article discusses some resampling techniques that have found widespread application in survey ...
Resampling methods are a common measure to estimate the variance of a statistic of interest when dat...
In this paper, resampling techniques based on pseudo-populations in the presence of a general πps sa...
A resampling technique for probability-proportional-to size sampling designs is proposed. It is ess...
Comparing time series is an important and common problem. Most results are asymptotic because it is ...
With the advent of high-speedpersonal computers, resamplingprocedures are now a realistic alternativ...
In sampling finite populations, several resampling schemes have been proposed. The common starting po...
The issues of estimation accuracy and statistical power in multiple regression with small samples ha...
This paper describes the use of resampling technique in validity testing and reliability testing tha...