Measure Theory, Probability, and Stochastic Processes: A Graduate Text
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A comprehensive graduate-level textbook that provides a rigorous and in-depth treatment of measure theory, probability, and stochastic processes.
Covers essential topics such as measure spaces, integration, probability spaces, random variables, and stochastic processes.
Features numerous examples and exercises to reinforce understanding and develop problem-solving skills.
Suitable for students in mathematics, statistics, engineering, and other disciplines that require a strong foundation in probability and stochastic processes.
Written by experienced authors with a proven track record in teaching and research in the field.
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