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, ...

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

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 ...

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 ...

All measurements are subject to error. When a reportable value is derived from a measurement or series of measurements, this value is only an estimate of the “true ...

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 ...

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

In epidemiological studies for an environmental risk assessment, doses are often observed with errors. However, they have received little attention in data analysis. This paper studies the effect of ...