Add to ORKGThis paper explores the properties of calibration estimation in the presence of both nonresponse and measurement errors. The ideas are illustrated with a simple example concerning the estimation of the number of sight tests carried out in Great Britain
This paper considers the classical and inverse calibration estimators and discusses the consequences...
"Given a randomly drawn sample, calibration weighting can provide double protection against the sele...
In real-world surveys, non-response and measurement errors are common, therefore studying them toget...
This paper explores the properties of calibration estimation in the presence of both nonresponse and...
Nonresponse can harm the quality of the estimates of a survey. In particular, since we have to accep...
In this thesis, we discuss calibration estimation in the presence of nonresponse with a focus on the...
Calibration forces the weighted estimates of certain variables to match known or alternatively estim...
Calibration weighting is a methodology under which probability-sample weights are adjusted in such a...
<p>Response rates have been steadily declining over the last decades, making survey estimates vulner...
A solution to control for nonresponse bias consists of multiplying the design weights of respondents...
Nonresponse results in a reduced sample size, but a more important concern of researchers is the pos...
Calibration can be used to adjust for unit nonresponse when the model variables on which the respons...
Nonsampling errors such as nonresponse represent an important source of bias in the production of of...
Rota and Laitila (2015) suggest an alternative two-step calibration estimation resulting from combin...
Various types of survey errors, especially nonresponse errors, may seriously deteriorate data qualit...
This paper considers the classical and inverse calibration estimators and discusses the consequences...
"Given a randomly drawn sample, calibration weighting can provide double protection against the sele...
In real-world surveys, non-response and measurement errors are common, therefore studying them toget...
This paper explores the properties of calibration estimation in the presence of both nonresponse and...
Nonresponse can harm the quality of the estimates of a survey. In particular, since we have to accep...
In this thesis, we discuss calibration estimation in the presence of nonresponse with a focus on the...
Calibration forces the weighted estimates of certain variables to match known or alternatively estim...
Calibration weighting is a methodology under which probability-sample weights are adjusted in such a...
<p>Response rates have been steadily declining over the last decades, making survey estimates vulner...
A solution to control for nonresponse bias consists of multiplying the design weights of respondents...
Nonresponse results in a reduced sample size, but a more important concern of researchers is the pos...
Calibration can be used to adjust for unit nonresponse when the model variables on which the respons...
Nonsampling errors such as nonresponse represent an important source of bias in the production of of...
Rota and Laitila (2015) suggest an alternative two-step calibration estimation resulting from combin...
Various types of survey errors, especially nonresponse errors, may seriously deteriorate data qualit...
This paper considers the classical and inverse calibration estimators and discusses the consequences...
"Given a randomly drawn sample, calibration weighting can provide double protection against the sele...
In real-world surveys, non-response and measurement errors are common, therefore studying them toget...