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Anotace knihy

This textbook offers an approachable introduction to measure-theoretic probability, illustrating core concepts with examples from statistics and engineering. The author presents complex concepts in a succinct manner, making otherwise intimidating material approachable to undergraduates who are not necessarily studying mathematics as their major. Throughout, readers will learn how probability serves as the language in a variety of exciting fields. Specific applications covered include the coupon collector's problem, Monte Carlo integration in finance, data compression in information theory, and more. Measure-Theoretic Probability is ideal for a one-semester course and will best suit undergraduates studying statistics, data science, financial engineering, and economics who want to understand and apply more advanced ideas from probability to their disciplines. As a concise and rigorous introduction to measure-theoretic probability, it is also suitable for self-study.Prerequisites include a basic knowledge of probability and elementary concepts from real analysis.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Probability & statistics

• Plný název: Measure-Theoretic Probability
• Podnázev: With Applications to Statistics, Finance, and Engineering
• Autor: Kenneth Shum
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 259
• EAN: 9783031498329
• ID: 45533665
• Nakladatelství: Springer, Berlin
• Hmotnost: 423 g
• Rozměry: 235 × 155 mm
• Rok vydání: 2024

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