In this article, I discuss the main approaches to resampling variance estimation in complex survey data: balanced repeated replication, the jackknife, and the bootstrap. Balanced repeated replication and the jackknife are implemented in the Stata svy suite. The bootstrap for complex survey data is implemented by the bsweights command. I describe this command and provide working examples
It is routine practice for survey organizations to provide replication weights as part of survey dat...
A variance estimator in a large survey based on jackknife or balanced repeated replication typically...
Not Availablea new boot~trap technique of variance estimation for complex survey data known as "Res...
In this article, I discuss the main approaches to resampling variance estimation in complex survey d...
In this article, I discuss the main approaches to resampling variance es- timation in complex survey...
This article discusses some resampling techniques that have found widespread application in survey ...
This article discusses some resampling techniques that have found widespread application in survey ...
none2noThis article discusses some resampling techniques that have found widespread application in ...
Complex survey samples are constructed with selection schemes that affect the usual random assumptio...
I present software for analysing complex survey samples in R. The sampling scheme can be explicitly ...
Several features of sample surveys generally render inapplicable the st and ard explicit forms of va...
Variance estimation techniques for nonlinear statistics, such as ratios and regression and correlati...
I present software for analysing complex survey samples in R. The sampling scheme can be explicitly ...
Imputation is commonly used for missing data in sample surveys. Usually the imputed values are treat...
I present software for analysing complex survey samples in R. The sampling scheme can be explicitly ...
It is routine practice for survey organizations to provide replication weights as part of survey dat...
A variance estimator in a large survey based on jackknife or balanced repeated replication typically...
Not Availablea new boot~trap technique of variance estimation for complex survey data known as "Res...
In this article, I discuss the main approaches to resampling variance estimation in complex survey d...
In this article, I discuss the main approaches to resampling variance es- timation in complex survey...
This article discusses some resampling techniques that have found widespread application in survey ...
This article discusses some resampling techniques that have found widespread application in survey ...
none2noThis article discusses some resampling techniques that have found widespread application in ...
Complex survey samples are constructed with selection schemes that affect the usual random assumptio...
I present software for analysing complex survey samples in R. The sampling scheme can be explicitly ...
Several features of sample surveys generally render inapplicable the st and ard explicit forms of va...
Variance estimation techniques for nonlinear statistics, such as ratios and regression and correlati...
I present software for analysing complex survey samples in R. The sampling scheme can be explicitly ...
Imputation is commonly used for missing data in sample surveys. Usually the imputed values are treat...
I present software for analysing complex survey samples in R. The sampling scheme can be explicitly ...
It is routine practice for survey organizations to provide replication weights as part of survey dat...
A variance estimator in a large survey based on jackknife or balanced repeated replication typically...
Not Availablea new boot~trap technique of variance estimation for complex survey data known as "Res...