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 ...

Error bars illustrate the margin of error for a survey estimate by showing how precise that estimate is. Here are some answers to common questions that might help you better understand charts with ...

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 ...

The choice of genotyping families vs unrelated individuals is a critical factor in any large-scale linkage disequilibrium (LD) study. The use of unrelated individuals for such studies is promising, ...

The use of reduced-order models to describe a dynamical system is pervasive in science and engineering. Often these models are used without an estimate of their error ...

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 ...

Scientists are evaluating machine-learning models using transfer learning principles. Omar Maddouri, a doctoral student in the Department of Electrical and Computer Engineering at Texas A&M University ...

It overestimated April’s inflation figures and in August had to postpone the release of monthly retail sales data.