Measurement error models address the deviation between observed and true values, thereby refining the reliability of statistical inference. These frameworks are ...

The potential health effects of ambient air pollution are a major public health issue that has received a great deal of attention over the past several decades. A major concern in studies that address ...

Influence functions are used to show that extreme observations affect linear measurement error model estimators in directions orthogonal to and along the fitted plane ...

Data that are collected for the production of official statistics or, more generally, for statistical analyses nearly always contain measurement errors. National statistical institutes, other ...

This software specialises in three areas: models with responses at several levels of a data hierarchy, multilevel structural equation models, and measurement error ...

Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 180, No. 4 (OCTOBER 2017), pp. 1191-1209 (19 pages) Area level models, such as the Fay–Herriot model, aim to improve ...

Given the potentially strong, adverse effects of measurement error and the possibility of minimizing these using Hidden Markov models (HMMs), the aim of this thesis ...

This software specialises in three areas: models with responses at several levels of a data hierarchy, multilevel structural equation models, and measurement error ...

Which A.I. system writes the best computer code or generates the most realistic image? Right now, there’s no easy way to answer those questions. Credit...Davide Comai Supported by By Kevin Roose ...