"Valószínűségi modell." . . "Operation Research/Decision Theory." . . "Mathematical Applications in the Physical Sciences." . . "Simulation and Modeling." . . "Probability Theory and Stochastic Processes." . . "Wahrscheinlichkeit." . . "Waarschijnlijkheidstheorie." . . "Computer simulation." . . "Probabilités." . . . . "Stochastisches Modell." . . "Stochastisches Modell" . "Operations research." . . "Statistische modellen." . . "Mathematical Applications in Computer Science." . . "Mathematical models Problems, exercises, etc." . . "Probability and Statistics in Computer Science." . . "Distribution (Probability theory)" . . "Mathematical models." . . "Probabilità." . . "Probabilities." . . "Probability." . . "Probabilidades." . . "Mathematics." . . "Mathematisches Modell." . . "Computer science." . . . . . . . . . "Probability Models is designed to aid students studying probability as part of an undergraduate course on mathematics or mathematics and statistics. It describes how to set up and analyse models of real-life phenomena that involve elements of chance. Motivation comes from everyday experiences of probability via dice and cards, the idea of fairness in games of chance, and the random ways in which, say, birthdays are shared or particular events arise. Applications include branching processes, random walks, Markov chains, queues, renewal theory, and Brownian motion. No specific knowledge of the subject is assumed, only a familiarity with the notions of calculus, and the summation of series. Where the full story would call for a deeper mathematical background, the difficulties are noted and appropriate references given. The main topics arise naturally, with definitions and theorems supported by fully worked examples and some 200 set exercises, all with solutions." . . . . . . . . . . . . . . . . . . . "Problems and exercises" . "Problems and exercises"@en . . . "The purpose of this book is to provide a sound introduction to the study of real-world phenomena that possess random variation. It describes how to set up and analyse models of real-life phenomena that involve elements of chance. Motivation comes from everyday experiences of probability, such as that of a dice or cards, the idea of fairness in games of chance, and the random ways in which, say, birthdays are shared or particular events arise. Applications include branching processes, random walks, Markov chains, queues, renewal theory, and Brownian motion. This popular second edition textbook contains many worked examples and several chapters have been updated and expanded. Some mathematical knowledge is assumed. The reader should have the ability to work with unions, intersections and complements of sets; a good facility with calculus, including integration, sequences and series; and appreciation of the logical development of an argument. Probability Models is designed to aid students studying probability as part of an undergraduate course on mathematics or mathematics and statistics." . . . . . . . . . "Leermiddelen (vorm)" . . . . . . "Probability Models"@en . "Probability Models" . . . "Electronic books" . . . . "Probability models : with 15 figures"@en . . . . . . "Probability models" . "Probability models"@en . . . . . . . . . . . . . . "\"The purpose of this book is to provide a sound introduction to the study of real-world phenomena that possess random variation. It describes how to set up and analyse models of real-life phenomena that involve elements of chance. Motivation comes from everyday experiences of probability, such as that of a dice or cards, the idea of fairness in games of chance, and the random ways in which, say, birthdays are shared or particular events arise. Applications include branching processes, random walks, Markov chains, queues, renewal theory, and Brownian motion. This popular second edition textbook contains many worked examples and several chapters have been updated and expanded. Some mathematical knowledge is assumed. The reader should have the ability to work with unions, intersections and complements of sets; a good facility with calculus, including integration, sequences and series; and appreciation of the logical development of an argument. Probability Models is designed to aid students studying probability as part of an undergraduate course on mathematics or mathematics and statistics.\" -- Provided by publisher."@en . . . . . . . . . "Libros electrónicos" . . . . . . . . "Springer Science+Business Media." . . "Probabilităţi." . . "Processos estocasticos (textos elementares)." . . "Processos estocasticos (textos elementares)" . "Wahrscheinlichkeit (Math.)" . . "Probabilities Problems, exercises, etc." . .