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  • Matthew A. Carlton; Jay L. Devore
    978-3-319-52401-6
    2017
    Edition 2
    • 7 on continuous-time Markov chains
    • Supplementary materials include three sample syllabi and updated solutions manuals for both instructors and students
    • Software-oriented approach—illustrating importance of software for carrying out simulations when answers to questions cannot be obtained analytically
    • Examples and problems in R and MATLAB, including code so students can create simulations
    • Introduction addresses “Why study probability?” by surveying selected examples from recent journal articles and discussing classic problems whose solutions are counterintuitive
    • Preface details mathematical level and uses three sample course syllabi to suggest what can be covered in courses of varying duration
    • New to this edition
    • Updated and re-worked Recommended Coverage for instructors, detailing which courses should use the textbook and how to utilize different sections for various objectives and time constraints
    • Extended and revised instructions and solutions to problem sets
    • Overhaul of Section 7
    • Includes supplementary material: sn.pub/extras
    • Request lecturer material: sn.pub/lecturer-material

    €419

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