Add to ORKGA replication variance estimation method for the regression estimator in two phase samples is described. The procedure reproduces the estimated variance of the first phase sample for those attributes of the first phase sample used as controls for the second phase sample. Only the second phase sample is required by the analyst for variance estimation. The procedure is applied to the National Resources Inventory (NRI), a study of land use based on a large area sample of the United States
The authors would like to thank the National Science Foundation (NSF). This work was motivated by a ...
I describe a program to compute design-based variances (i.e., variances adjusted for the sample desi...
In this article, I discuss the main approaches to resampling variance estimation in complex survey d...
In two-phase sampling for stratification, the second-phase sample is selected by a stratified sample...
Kim and Yu (2011) discussed replication variance estimator for two-phase stratified sampling. In thi...
In two-phase sampling, the second-phase sample is often a stratified sample based on the information...
Two-phase panel surveys are conducted to study trends over time. The outcome of these studies is oft...
Many longitudinal surveys can be represented as two-phase samples, where the entire set of observed ...
Several features of sample surveys generally render inapplicable the st and ard explicit forms of va...
Replication methods are used frequently to con-struct variance estimators under complex sampling des...
Complex survey samples are constructed with selection schemes that affect the usual random assumptio...
This paper considers a new variance estimator for ratio estimation based on the empirical likelihood...
This report presents results from an empirical investigation of the behavior of the replication and ...
This article deals with the problems of efficient estimation of population variance in two-phase (do...
Data on employee benefits is one of the key products produced by the National Compensation Survey (N...
The authors would like to thank the National Science Foundation (NSF). This work was motivated by a ...
I describe a program to compute design-based variances (i.e., variances adjusted for the sample desi...
In this article, I discuss the main approaches to resampling variance estimation in complex survey d...
In two-phase sampling for stratification, the second-phase sample is selected by a stratified sample...
Kim and Yu (2011) discussed replication variance estimator for two-phase stratified sampling. In thi...
In two-phase sampling, the second-phase sample is often a stratified sample based on the information...
Two-phase panel surveys are conducted to study trends over time. The outcome of these studies is oft...
Many longitudinal surveys can be represented as two-phase samples, where the entire set of observed ...
Several features of sample surveys generally render inapplicable the st and ard explicit forms of va...
Replication methods are used frequently to con-struct variance estimators under complex sampling des...
Complex survey samples are constructed with selection schemes that affect the usual random assumptio...
This paper considers a new variance estimator for ratio estimation based on the empirical likelihood...
This report presents results from an empirical investigation of the behavior of the replication and ...
This article deals with the problems of efficient estimation of population variance in two-phase (do...
Data on employee benefits is one of the key products produced by the National Compensation Survey (N...
The authors would like to thank the National Science Foundation (NSF). This work was motivated by a ...
I describe a program to compute design-based variances (i.e., variances adjusted for the sample desi...
In this article, I discuss the main approaches to resampling variance estimation in complex survey d...