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Record Nr. |
UNINA9910300140203321 |
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Autore |
Girardin Valérie |
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Titolo |
Applied Probability : From Random Sequences to Stochastic Processes / / by Valérie Girardin, Nikolaos Limnios |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XIII, 260 p. 30 illus., 1 illus. in color.) |
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Disciplina |
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Soggetti |
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Probabilities |
Statistics |
Mathematical statistics |
Engineering mathematics |
Epidemiology |
Probability Theory and Stochastic Processes |
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
Probability and Statistics in Computer Science |
Statistics for Business, Management, Economics, Finance, Insurance |
Engineering Mathematics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Preface -- Independent Random Sequences -- Conditions and Martingales -- Markov Chains -- Continuous Time Stochastic Processes -- Markov and Semi-Markov Processes -- Further Reading.-. |
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Sommario/riassunto |
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This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes. Pursuing a pedagogic approach, the content follows a path of increasing complexity, from the simplest random sequences to the advanced stochastic processes. Illustrations are provided from many applied fields, together with connections to ergodic theory, information theory, reliability and insurance. The main content is also complemented by a wealth of |
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examples and exercises with solutions. |
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