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Bei der optischen Inspektion von spiegelnden Oberflächen wird die Deflektometrie eingesetzt. Mittels eines robotergeführten Sensorkopfes können auch Oberflächen untersucht werden, für die der Messbereich des Sensors zu klein ist, indem mehrerer Messungen mit unterschiedlichen Konfigurationen ausgeführt werden. Diese Arbeit untersucht das Problem der automatisierten Bestimmung optimaler Konfigurationen für eine vollständige Oberflächeninspektion mittels probabilistischer Planungsverfahren. Deflectometry is the method of choice for the optical inspection of specular surfaces. Surfaces, for which the measurement range is too small, can be fully inspected through a roboter-guided sensor by taking measurements with different configurations. This work is concerned with the problem of automatically determinining optimal configurations for a complete inspection by means of probabilistic planning methods.
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Jason Gibson demonstrates the use of standard normal distributions. He shows examples of standard normal distributions and explains how to practice with them.
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Jason Gibson discusses probability distribution and how it relates to standard deviation and mean. The shape of the bell curve formed by the normal probability distribution is completely defined by the mean and standard deviation of the data. Gibson provides examples of different graphs and shows the change in shape with the change in the standard deviation and mean.
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Jason Gibson explains how to use the statistical concept of standard normal distributions. He discusses what a standard normal distribution is and how it is calculated.
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Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics -a very active area of research in which few up-to-date reference works are available. Gaussian Markov Random Field: Theory and Applications is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. It includes extensive case studies and an online C-library for fast and exact simulation. With chapters contributed by leading researchers in the field, this volume is essential reading for statisticians working in spatial theory and its applications, as well as quantitative researchers in a wide range of fields in which spatial data analysis is important.
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