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Industrial safety --- -Loss control --- Management
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This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable. This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable. Contents Introduction Frequency models Individual severity models Some detailed examples Some traditional approaches to the aggregation problem Laplace transforms and fractional moment problems The standard maximum entropy method Extensions of the method of maximum entropy Superresolution in maxentropic Laplace transform inversion Sample data dependence Disentangling frequencies and decompounding losses Computations using the maxentropic density Review of statistical procedures
Loss control --- Maxium entropy method. --- Statistical methods.
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Nuclear power plants --- Moisture meters. --- Loss control. --- Equipment and supplies.
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Water temperature --- Reservoirs --- Loss control --- Evaporation control --- North Carolina
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Climatic changes. --- Climate change mitigation. --- Hazard mitigation. --- Loss control.
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Nuclear power plants --- Moisture meters. --- Loss control. --- Equipment and supplies.
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Human reliability is an issue that is increasingly discussed in the process and manufacturing industries to check factors that influence operator performance and trigger errors. Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes: An Operational Culture Perspective provides a multidisciplinary analysis of work concepts and environments to reduce human error and prevent material, energy, image, and time losses. The book presents a methodology for the quantification and investigation of human reliability, and verification of the influence of human factors in the generation of process losses, consisting of the following steps: contextualization, data collection, and results; performing task and loss observation; socio-technical variable analyses; and data processing. Investigating human reliability, concepts, and models in situations of human error in practice, the book identifies where low reliability occurs and then visualizes where and how to perform an intervention.
Labor productivity. --- Industrial productivity --- Software productivity. --- Data processing. --- Loss control. --- Errors --- Prevention.
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Fire prevention --- Industrial buildings --- Loss control. --- Industrial safety. --- Inspection. --- Fires and fire prevention.
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Fire prevention Inspection. --- Industrial buildings --- Industrial safety. --- Loss control. --- Fires and fire prevention.
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Water temperature --- Reservoirs --- Loss control --- Water temperature. --- Evaporation control --- North Carolina
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