estimator stability. In establishment surveys, sample designs often include stratification by the size of the establishment, with large establishments included in strata that have nontrivial sample fractions. For these designs, development and evaluation of appropriate variance estimators generally involve trade-offs among several factors, including the following. (1) The intended use of the variance estimator, e.g., for formal inference or for construction of weights in a weighted-least-squares procedure. (2) The extent, if any, to which one mus
I present software for analysing complex survey samples in R. The sampling scheme can be explicitly ...
Abstract: Consider a multi-stage survey with unequal probabilities at each stage and rich informatio...
In this article, I discuss the main approaches to resampling variance estimation in complex survey d...
Several features of sample surveys generally render inapplicable the st and ard explicit forms of va...
Multiple weight adjustments are common in surveys to account for ineligible units on a frame, nonres...
We propose a method for estimating the variance of estimators of changes over time, a method that t...
This report presents results from an empirical investigation of the behavior of the replication and ...
Complex survey samples are constructed with selection schemes that affect the usual random assumptio...
The estimates obtained from repeated surveys are used to monitor and analyse changes in variables of...
It is common for many establishment surveys that a sample contains a fraction of observations that m...
Most tendency surveys are organized to be based on a fixed sample of units across time. This fixed p...
In stratified sampling when only one unit is selected from each stratum, the estimation of variance ...
It is common for many establishment surveys that a sample contains a fraction of observations that m...
In a typical research setting, two-stage stratified sampling is typically done in situations where b...
A common problem in survey sampling is to compare two cross-sectional estimates for the same study v...
I present software for analysing complex survey samples in R. The sampling scheme can be explicitly ...
Abstract: Consider a multi-stage survey with unequal probabilities at each stage and rich informatio...
In this article, I discuss the main approaches to resampling variance estimation in complex survey d...
Several features of sample surveys generally render inapplicable the st and ard explicit forms of va...
Multiple weight adjustments are common in surveys to account for ineligible units on a frame, nonres...
We propose a method for estimating the variance of estimators of changes over time, a method that t...
This report presents results from an empirical investigation of the behavior of the replication and ...
Complex survey samples are constructed with selection schemes that affect the usual random assumptio...
The estimates obtained from repeated surveys are used to monitor and analyse changes in variables of...
It is common for many establishment surveys that a sample contains a fraction of observations that m...
Most tendency surveys are organized to be based on a fixed sample of units across time. This fixed p...
In stratified sampling when only one unit is selected from each stratum, the estimation of variance ...
It is common for many establishment surveys that a sample contains a fraction of observations that m...
In a typical research setting, two-stage stratified sampling is typically done in situations where b...
A common problem in survey sampling is to compare two cross-sectional estimates for the same study v...
I present software for analysing complex survey samples in R. The sampling scheme can be explicitly ...
Abstract: Consider a multi-stage survey with unequal probabilities at each stage and rich informatio...
In this article, I discuss the main approaches to resampling variance estimation in complex survey d...