@misc{10481/68443,
year = {2018},
month = {7},
url = {http://hdl.handle.net/10481/68443},
abstract = {This paper considers new techniques for complex surveys in the case of estimation
of proportions when the variable of interest has ordinal outcomes. Ordinal modelassisted and ordinal model-calibrated estimators are introduced for class frequencies
in a population, taking two different approaches. Theoretical properties and numerical
methods are investigated. Simulation studies using data from a real macro survey are
considered to evaluate the performance of the proposed estimators. The empirical
coverage and the length of confidence intervals are computed using several techniques
in variance estimation. We also use data from an opinion survey to show the behavior
of the proposed estimators in real applications},
keywords = {complex surveys},
keywords = {model calibration},
keywords = {ordinal data},
keywords = {weighted least squares},
keywords = {weighted maximum likelihood},
title = {Model-Assisted and Model-Calibrated Estimation for class frequencies with ordinal outcomes},
author = {Rueda García, María Del Mar and Arcos Cebrián, Antonio and Molina, David and Trujillo, Manuel},
}