Nature

Measurement Error Models in Statistical Inference

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

A bivariate measurement error model for nitrogen and potassium intakes to evaluate the performance of regression calibration in the European Prospective Investigation into ...

Within the European Prospective Investigation into Cancer and Nutrition (EPIC) study, the performance of 24-h dietary recall (24-HDR) measurements as reference measurements in a linear regression ...
CBS

Editing and estimation of measurement errors

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 ...
JSTOR Daily

Influence Diagnostics for Linear Measurement Error Models

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

Multivariate Fay–Herriot Bayesian estimation of small area means under functional 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 ...
University of Bristol

REALCOM: Developing multilevel models for REAListically COMplex social science data

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