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stochastic processes (MTH4125)

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Here are the best resources to pass stochastic processes (MTH4125). Find stochastic processes (MTH4125) study guides, notes, assignments, and much more.

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Exam 1

  • Exam 1

  • Exam (elaborations) • 5 pages • 2020
  • Available in package deal
    • This course is designed to introduce the undergraduate to the fundamental ideas of stochastic (or random) processes. Such processes are used in the study of mathematical models where there are elements of uncertainty and hence probabilistic quantities are introduced into the model. These models are found in fields such as the analysis of algorithms, the theory of queues, the pricing of stock options, financial mathematics, econometrics, linear programming, and biomathematics. The course will cov...
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Exam 2.a

  • Exam 2.a

  • Exam (elaborations) • 5 pages • 2020
  • Available in package deal
    • This course is designed to introduce the undergraduate to the fundamental ideas of stochastic (or random) processes. Such processes are used in the study of mathematical models where there are elements of uncertainty and hence probabilistic quantities are introduced into the model. These models are found in fields such as the analysis of algorithms, the theory of queues, the pricing of stock options, financial mathematics, econometrics, linear programming, and biomathematics. The course will cov...
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Stochastic Processes (Exams 1, 2.a, 2.b)

  • Stochastic Processes (Exams 1, 2.a, 2.b)

  • Package deal • 3 items • 2020
  • Questions and answers for exams on the stochastic process. The course is designed to introduce undergraduates to the fundamental ideas of stochastic (or random) processes. Topics to be covered are Markov chains (discrete and continuous time), renewal theory, queueing theory, Brownian motion, and stationary processes.
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Exam 2.b

  • Exam 2.b

  • Exam (elaborations) • 3 pages • 2020
  • Available in package deal
    • This course is designed to introduce the undergraduate to the fundamental ideas of stochastic (or random) processes. Such processes are used in the study of mathematical models where there are elements of uncertainty and hence probabilistic quantities are introduced into the model. These models are found in fields such as the analysis of algorithms, the theory of queues, the pricing of stock options, financial mathematics, econometrics, linear programming, and biomathematics. The course will cov...
    (0)
  • $7.48
  • + learn more