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A Second Course in Probability
A Second Course in Probability
A Second Course in Probability is an invaluable resource for advanced probability theory, striking a good balance between technical detail and clarity of exposition.
A Second Course in Probability
Item #: 104107208

A Second Course in Probability

Item #: 104107208

€ 61

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A Second Course in Probability is an invaluable resource for advanced probability theory, striking a good balance between technical detail and clarity of exposition.
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What Stands Out

Comprehensive Coverage
Delivers an extensive exploration of advanced probability topics, making it ideal for graduate students and professionals seeking to deepen their understanding of the subject.
Practical Applications
Includes real-world examples and exercises that bridge theory and practical use, helping readers apply concepts effectively in diverse fields like finance, engineering, and science.
Clear Explanations
Features well-structured chapters with clear explanations and illustrative diagrams, ensuring complex ideas are accessible and easier to grasp for learners at all levels.

Product Details

Shop A Second Course in Probability online at a best price in Greece. 1009179918
  • Written by Sheldon Ross and Erol Peköz, this text familiarises you with advanced topics in probability while keeping the mathematical prerequisites to a minimum. Topics covered include measure theory, limit theorems, bounding probabilities and expectations, coupling and Stein's method, martingales, Markov chains, renewal theory, and Brownian motion. No other text covers all these topics rigorously but at such an accessible level - all you need is an undergraduate-level understanding of calculus and probability. New to this edition are sections on the gambler's ruin problem, Stein's method as applied to exponential approximations, and applications of the martingale stopping theorem. Extra end-of-chapter exercises have also been added, with selected solutions available.This is an ideal textbook for students taking an advanced undergraduate or graduate course in probability. It also represents a useful resource for professionals in relevant application domains, from finance to machine learning.
Publisher Cambridge University Press
Publication date September 21, 2023
Edition 2nd
Language English
Print length 192 pages
ISBN-10 1009179918
ISBN-13 978-1009179911
Item Weight 10.2 ounces (289.17 grams)
Dimensions 6 x 0.44 x 9 inches (15.2 x 1.1 x 22.9 cm)

Who Should Buy?

Suitable For
  • Advanced Students

    Ideal for undergraduate and graduate students specializing in mathematics or statistics who seek deeper probability knowledge.

  • Educators and Instructors

    Useful for teachers looking to enhance their courses with a comprehensive understanding of probability theory and applications.

  • Researchers in Statistics

    Beneficial for researchers needing an advanced reference for probability theory, especially for studies in statistics and data science.

Not Suitable For
  • Beginners in Probability

    Not suitable for novices or beginners who require a foundational understanding of probability concepts before advancing.

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