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Stochastic processes --- Markov processes --- Renewal theory --- Stochastic programming --- Markov, Processus de --- Renouvellement, Théorie du --- Programmation stochastique --- Renouvellement, Théorie du

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Stochastic processes --- Random walks (Mathematics) --- Renewal theory --- Promenades aléatoires (Mathématiques) --- Renouvellement, Théorie du --- Operations research --- Distribution (Probability theory) --- Mathematics --- 519.218 --- Additive process (Probability theory) --- Random walk process (Mathematics) --- Walks, Random (Mathematics) --- Special stochastic processes --- 519.218 Special stochastic processes --- Promenades aléatoires (Mathématiques) --- Renouvellement, Théorie du

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Applied Semi-Markov Processes aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems. The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep knowledge of semi-Markov processes. The book presents homogeneous and non-homogeneous semi-Markov processes, as well as Markov and semi-Markov rewards processes. These concepts are fundamental for many applications, but they are not as thoroughly presented in other books on the subject as they are here. Audience This book is intended for graduate students and researchers in mathematics, operations research and engineering; it might also appeal to actuaries and financial managers, and anyone interested in its applications for banks, mechanical industries for reliability aspects, and insurance companies.

Markov processes --- Renewal theory --- Markov, Processus de --- Renouvellement, Théorie du --- Markov processes. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Renewal theory. --- Markoff processes --- Markov [Processus de ] --- Markov models --- Markov processen --- Markov-processen --- Processus de Markov --- Théorie de nouveauté --- Vernieuwingstheorie --- Renouvellement, Théorie du --- EPUB-LIV-FT LIVMATHE SPRINGER-B --- Analysis, Markov --- Chains, Markov --- Markov analysis --- Markov chains --- Models, Markov --- Processes, Markov --- Mathematics. --- Finance. --- Applied mathematics. --- Engineering mathematics. --- Mathematical models. --- Probabilities. --- Quality control. --- Reliability. --- Industrial safety. --- Public finance. --- Probability Theory and Stochastic Processes. --- Public Economics. --- Applications of Mathematics. --- Mathematical Modeling and Industrial Mathematics. --- Quality Control, Reliability, Safety and Risk. --- Finance, general. --- Stochastic processes --- Distribution (Probability theory. --- System safety. --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Systems engineering --- Funding --- Funds --- Economics --- Currency question --- Math --- Science --- Cameralistics --- Public finance --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Prevention --- Public finances --- Engineering --- Engineering analysis --- Mathematical analysis --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- System safety --- Models, Mathematical --- Simulation methods