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The Probability Lifesaver

Parametry

  • 752 strony
  • 27 godzin czytania

Więcej o książce

This essential guide is designed for students aiming to master probability, which can often feel overwhelming due to its various applications and methods. It serves as a complete introduction or a supplementary resource for courses, helping students navigate the complexities of probability with ease. Based on a successful course taught by Steven Miller at prestigious institutions, the guide adopts a relaxed and informal style, presenting mathematical concepts alongside thorough reviews of prerequisite materials and worked-out problems of varying difficulty. Miller emphasizes building intuition before delving into technical details, ensuring comprehensive coverage of topics. Key materials are repeated for reinforcement, both in the guide and on the accompanying website. An appendix reviews proof techniques, and video lectures based on the chapters are available online. While some familiarity with algebra and precalculus is recommended, this guide not only helps students survive their probability studies but also empowers them to achieve mastery for future courses. With numerous worked-out examples and a conversational approach, it is an invaluable resource for anyone looking to understand probability more deeply.

Zakup książki

The Probability Lifesaver, Steven J. Miller

Język
Rok wydania
2017
Oprawa
(miękka)
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Tytuł
The Probability Lifesaver
Język
angielski
Rok wydania
2017
Oprawa
miękka
Liczba stron
752
ISBN10
0691149550
ISBN13
9780691149554
Seria
Opis
This essential guide is designed for students aiming to master probability, which can often feel overwhelming due to its various applications and methods. It serves as a complete introduction or a supplementary resource for courses, helping students navigate the complexities of probability with ease. Based on a successful course taught by Steven Miller at prestigious institutions, the guide adopts a relaxed and informal style, presenting mathematical concepts alongside thorough reviews of prerequisite materials and worked-out problems of varying difficulty. Miller emphasizes building intuition before delving into technical details, ensuring comprehensive coverage of topics. Key materials are repeated for reinforcement, both in the guide and on the accompanying website. An appendix reviews proof techniques, and video lectures based on the chapters are available online. While some familiarity with algebra and precalculus is recommended, this guide not only helps students survive their probability studies but also empowers them to achieve mastery for future courses. With numerous worked-out examples and a conversational approach, it is an invaluable resource for anyone looking to understand probability more deeply.