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 ...

Economic Development and Cultural Change, Vol. 56, No. 1 (October 2007), pp. 163-189 (27 pages) Abstract In any population, income growth among the poor may be higher or lower than overall income ...

Measurement error models address the deviation between observed and true values, thereby refining the reliability of statistical inference. These frameworks are ...

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 ...

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 ...

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 ...

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 ...

This work was conducted in collaboration with the Canadian company Advanced Measurement and Analysis Group Inc. (AMAG), which conducts flow measurement of critically important parameters in nuclear ...