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 ...

Measurement system analysis (MSA) is an essential discipline that underpins the accuracy and reliability of data in quality control and manufacturing processes. By quantifying measurement variability, ...

Figure 1 shows that individual measurement values hover around a mean value and the difference between the mean value and true value is the systematic error of ...

SAN JOSE, Calif., Nov. 19, 2025 (GLOBE NEWSWIRE) -- zSpace, Inc. (NASDAQ: ZSPC), a global leader in immersive augmented ...

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 ...

Research shows in-office BP measurement is often done incorrectly, leading to false results. Physician leaders discuss why ...

Particle analysis is a crucial step in the quality control of bulk materials and is performed in laboratories worldwide. The methods used have usually been established for years and are rarely ...

Very often, in the test and measurement industry, a measurement is made by instrumentation, which is often subject to errors. It is difficult to estimate the true value of the measured quantity given ...

In multivariate recurrent event data regression, observation of recurrent events is usually terminated by other events that are associated with the recurrent event processes, resulting in informative ...

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 ...