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 ...
Error separation techniques have become an indispensable component in the field of precision measurement, ensuring that intrinsic errors from both the measuring ...
This is a preview. Log in through your library . Abstract Measurement error is an important problem that has not been studied very well in the context of functional ...
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 ...
Assess a discrete measurement. Perform analyzes for potential and long term control and capability. Make decisions on measurement systems process improvement. In this module, we will learn to identify ...
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach ...
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 ...
When publishing socioeconomic survey data, survey programs implement a variety of statistical methods designed to preserve privacy but which come at the cost of distorting the data. World Bank survey ...
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