Calibration is a technique of adjusting sample weights routinely used in sample surveys. In this chapter, we consider calibration as an optimization problem and show that the choice of optimization function has an effect on the calibrated weights. We propose a class of functions that have several desirable properties, which includes satisfying necessary range restrictions for the weights. In this chapter, we explore the effect these new functions have on the calibrated weights
Survey calibration methods modify minimally unit-level sample weights to fit domain-level benchmark ...
Calibration estimation is a method of adjusting the original design weights to improve the survey es...
Calibration estimation, where the sampling weights are adjusted to make certain estimators match kno...
Calibration is a technique of adjusting sample weights routinely used in sample surveys. In this cha...
Calibration weighting is a methodology under which probability-sample weights are adjusted in such a...
Calibration estimation is a method of adjusting the original design weights in survey sampling to im...
The analysis of sample surveys is one of the key areas in official statistics. An integral part of a...
AbstractThe calibration method has been widely discussed in the recent literature on survey sampling...
Sample weight calibration, also referred to as calibration estimation, is a widely applied technique...
<p>In this article, a new two-step calibration technique of design weights is proposed. In the first...
Calibration estimation, where the sampling weights are adjusted to make certain estimators match kno...
Stratified Sampling is one of the most widely used sampling techniques as it increases the precision...
Calibration forces the weighted estimates of certain variables to match known or alternatively estim...
Generalized regression is commonly used to adjust sampling weights to satisfy bench-mark constraints...
Calibration in its various forms has become an essential tool in surveys. There are sev-eral reasons...
Survey calibration methods modify minimally unit-level sample weights to fit domain-level benchmark ...
Calibration estimation is a method of adjusting the original design weights to improve the survey es...
Calibration estimation, where the sampling weights are adjusted to make certain estimators match kno...
Calibration is a technique of adjusting sample weights routinely used in sample surveys. In this cha...
Calibration weighting is a methodology under which probability-sample weights are adjusted in such a...
Calibration estimation is a method of adjusting the original design weights in survey sampling to im...
The analysis of sample surveys is one of the key areas in official statistics. An integral part of a...
AbstractThe calibration method has been widely discussed in the recent literature on survey sampling...
Sample weight calibration, also referred to as calibration estimation, is a widely applied technique...
<p>In this article, a new two-step calibration technique of design weights is proposed. In the first...
Calibration estimation, where the sampling weights are adjusted to make certain estimators match kno...
Stratified Sampling is one of the most widely used sampling techniques as it increases the precision...
Calibration forces the weighted estimates of certain variables to match known or alternatively estim...
Generalized regression is commonly used to adjust sampling weights to satisfy bench-mark constraints...
Calibration in its various forms has become an essential tool in surveys. There are sev-eral reasons...
Survey calibration methods modify minimally unit-level sample weights to fit domain-level benchmark ...
Calibration estimation is a method of adjusting the original design weights to improve the survey es...
Calibration estimation, where the sampling weights are adjusted to make certain estimators match kno...