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A trusted market leader for four decades, Sheldon Ross's Introduction to Probability Models is now available in two more manageable volumes: an Elementary edition appropriate for undergraduate use, and an Advanced edition for graduate use. Together, and through their hallmark exercises and real examples, both versions offer a comprehensive foundation of this key subject with applications across engineering, computer science, management science, the physical and social sciences and operations research.
Introduction to Probability Models introduces the reader to the foundations of probability modelling and stochastic processes from Random Variables, to Markov Chains, to Renewal Theory.
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A trusted market leader for four decades, Sheldon Ross's Introduction to Probability Models is now available in two more manageable volumes: an Elementary edition appropriate for undergraduate use, and an Advanced edition for graduate use. Together, and through their hallmark exercises and real examples, both versions offer a comprehensive foundation of this key subject with applications across engineering, computer science, management science, the physical and social sciences and operations research.
Introduction to Probability Models introduces the reader to the foundations of probability modelling and stochastic processes from Random Variables, to Markov Chains, to Renewal Theory.
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