Calibration on control totals is commonly used for survey weighting. It is usually assumed that these totals are values known without sampling errors. However, they can be estimated from other sources. A variance estimator that takes into account the randomness of control totals is derived. Several situations such as calibration on external sources and calibration with sampling on two occasions are investigated. The methodology proposed is general and can be implemented in various situations when control totals are estimated
This paper presents a newly developed R-package for calculation of variances of estimates based on d...
Not AvailableSurveys are often based on complex sample designs where sampling units frequently have ...
We consider variance estimation for Horvitz-Thompson type estimated totals based on survey data with...
Calibration on control totals is commonly used for survey weighting. It is usually assumed that thes...
Sample weight calibration, also referred to as calibration estimation, is a widely applied technique...
Calibration estimation, where the sampling weights are adjusted to make certain estimators match kno...
Sample weight calibration, also referred to as calibration estimation, is a widely applied technique...
Calibration estimation, where the sampling weights are adjusted to make certain estimators match kno...
In this thesis, we study re-weighting when estimating totals in survey sampling. The purpose of re-w...
The purpose of this note is to propose a variance estimator under non-measurable designs that exploi...
Calibration weighting is a methodology under which probability-sample weights are adjusted in such a...
A common problem in survey sampling is to compare two cross-sectional estimates for the same study v...
It is common practice to design a survey with a large number of strata. However, in this case the us...
The paper offers a synthesis of several widely used estimation methods in survey sampling from a rat...
Essentially all empirical questions that are addressed with sample data require estimates of samplin...
This paper presents a newly developed R-package for calculation of variances of estimates based on d...
Not AvailableSurveys are often based on complex sample designs where sampling units frequently have ...
We consider variance estimation for Horvitz-Thompson type estimated totals based on survey data with...
Calibration on control totals is commonly used for survey weighting. It is usually assumed that thes...
Sample weight calibration, also referred to as calibration estimation, is a widely applied technique...
Calibration estimation, where the sampling weights are adjusted to make certain estimators match kno...
Sample weight calibration, also referred to as calibration estimation, is a widely applied technique...
Calibration estimation, where the sampling weights are adjusted to make certain estimators match kno...
In this thesis, we study re-weighting when estimating totals in survey sampling. The purpose of re-w...
The purpose of this note is to propose a variance estimator under non-measurable designs that exploi...
Calibration weighting is a methodology under which probability-sample weights are adjusted in such a...
A common problem in survey sampling is to compare two cross-sectional estimates for the same study v...
It is common practice to design a survey with a large number of strata. However, in this case the us...
The paper offers a synthesis of several widely used estimation methods in survey sampling from a rat...
Essentially all empirical questions that are addressed with sample data require estimates of samplin...
This paper presents a newly developed R-package for calculation of variances of estimates based on d...
Not AvailableSurveys are often based on complex sample designs where sampling units frequently have ...
We consider variance estimation for Horvitz-Thompson type estimated totals based on survey data with...