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, Quality Sampling and Reliability: New Uses for the Poisson Distribution will help quality professionals, engineers, instructors and students alike;
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electricity. With chapters carefully culled from the best-selling Electric Power Distribution Handbook, Distribution Reliability and Power Quality;
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sampling plans, sampling plans based on the process capability index and plans for big data, which can be used for testing and inspecting products;
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Written to match the contents of the Cambridge syllabus. Statistics 2 corresponds to unit S2. It covers the Poisson distribution, linear;
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using random non-response in survey sampling; balanced groups ranked set samples for estimating the population median; Marshall-Olkin;
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: Reliability Modeling, Software Quality Engineering, Software Reliability, and Maintenance and Inspection Policies. These sections cover a wide range;
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discussing the Poisson process and its associated probability laws. It then uses a number of stochastic models to provide a framework for life length;
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/>The second edition includes three completely new chapters: two cover "Repairable System Reliability" (both for renewal and non-renewal;
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knowledge of reliability; discusses the basic theory of reliability sampling, inspection, and design; details the reliability indices, reliability;
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knowledge of reliability; discusses the basic theory of reliability sampling, inspection, and design; details the reliability indices, reliability;
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hardware reliability and software quality process for technology products. The authors - noted experts in the field - provide useful tools, forms;
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new sections on Occurrence, distribution, and significance of arsenic speciation, Biogeochemistry of arsenic in aquatic environments: the role;
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and limitations of the binomial and Poisson distributions * Relationship of the chi-square method and Poisson curves * Derivations and;
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and limitations of the binomial and Poisson distributions * Relationship of the chi-square method and Poisson curves * Derivations and;
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, hypergeometric distribution, calculating moments, Chebyshev theorem, class width in statistics, classification and cluster sampling, confidence interval;
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, acceptance sample plans and reliability assessment are some of the essential statistical techniques in quality technologies to ensure high quality;
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Today's manufacturers are under tremendous pressure to develop new technological and high reliability products in record time. This has;
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in statistical quality control for improved quality, reliability, and productivity in the management of production processes and industrial and business;
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distribution grids that ensure the reliability and quality of electric power supply. The authors - noted experts in the field - offer an;
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Reliability theory is of fundamental importance for engineers and managers involved in the manufacture of high-quality products and the;
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Due to its high impact on the cost of electricity and its direct correlation with customer satisfaction, distribution reliability continues;
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Intelligent Coordinated Control of Complex Uncertain Systems for Power Distribution and Network Reliability discusses the important topics;
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Poisson Distributions, Elementary Sampling Theory, Statistical Estimation Theory, Statistical Decision Theory, Small Sampling Theory, The Chi;
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techniques for analysis of water quality parameters, Bayesian estimation techniques for lifetime distributions, reliability and life testing;
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grid of cumulative probabilities, and uses the closed form expression for the cumulative distribution function. This easy-to-use table;
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of distribution functions, adaptive sampling schemes etc. New to the Second Edition: * Contents reorganized to establish a coherent link between various;
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, insurance, finance, and more. The authors show how practice interacts with theory, and how new mathematical formulations of problems appear and;
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