Measurement error models address the deviation between observed and true values, thereby refining the reliability of statistical inference. These frameworks are ...
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 ...
Understanding system accuracy specifications is important when specifying and assessing test system choices to know exactly what you’re buying and what you can ...
The source of measurement error in population tables are not necessarily the result of sampling errors. In this sense, the proposed method is an extension of the variance of the regression estimator ...
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