- Hardcover: 280 pages
- Publisher: Springer; 1st ed. 2001. Corr. 2nd printing edition (Dec 7 2000)
- Language: English
- ISBN-10: 038795063X
- ISBN-13: 978-0387950631
- Product Dimensions: 23.4 x 15.6 x 1.8 cm
- Shipping Weight: 476 g
- Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
- Amazon Bestsellers Rank: #555,394 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Details |
Product Description
Review
M. Capinski and T. Zastawniak Probability Through Problems "This book of problems has been designed to accompany an undergraduate course in probability. The only prerequisite is basic algebra and calculus. Each chapter is divided into three parts: Problems, Hints, and Solutions. To make the book self-contained all problem sections include expository material. Definitions and statements of important results are interlaced with relevant problems. The problems have been selected to motivate abstract definitions by concrete examples and to lead in manageable steps towards general results, as well as to provide exercises based on the issues and techniques introduced in each chapter. The book is intended as a challenge to involve students as active participants in the course."—ZENTRALBLATT MATH
Product Description
This book of problems is designed to challenge students learning probability. Each chapter is divided into three parts: Problems, Hints, and Solutions. All Problems sections include expository material, making the book self-contained. Definitions and statements of important results are interlaced with relevant problems. The only prerequisite is basic algebra and calculus.
Inside This Book
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most helpful customer reviews
5.0 out of 5 stars
This one will be a classic,
By
This review is from: Probability Through Problems (Hardcover)
Doing problems is the best way to study mathematics. The question to most authors is that: How to select problems that are nice to the students. This book did quite well. As I see, the authors gave the exact right pace to offer the students an exicting course, and give the students a thorough understanding.If you want to master this subject in a month, or even in a shorter time, this book may be the right choice.
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Most Helpful Customer Reviews on Amazon.com (beta) Amazon.com:
5.0 out of 5 stars (2 customer reviews) 25 of 29 people found the following review helpful
5.0 out of 5 stars
This one will be a classic,
By B. Etin "algorithmic" - Published on Amazon.com
This review is from: Probability Through Problems (Hardcover)
Doing problems is the best way to study mathematics. The question to most authors is that: How to select problems that are nice to the students. This book did quite well. As I see, the authors gave the exact right pace to offer the students an exicting course, and give the students a thorough understanding.If you want to master this subject in a month, or even in a shorter time, this book may be the right choice. 7 of 7 people found the following review helpful
5.0 out of 5 stars
Refreshing and unique,
By Trevor Burnham - Published on Amazon.com
Amazon Verified Purchase(What's this?)
This review is from: Probability Through Problems (Hardcover)
This book uses a format I've never seen in a math textbook before: Each chapter consists of a couple of paragraphs to define a new concept, followed by several dozen problems to explore the concept in depth. The problems are followed by hints, and then solutions. This fresh approach teaches otherwise dry subject matter in an unusually lively (and memorable) way.Note that this book teaches probability in a mathematically rigorous way, possibly too rigorous for a first course in probability. You'll have to work your way through several chapters of abstruse concepts (e.g. sigma fields) before you see any of the more fun, applied probability problems. A basic understanding of set theory and analysis are prerequisite. The chapters are: 1. Modeling Random Experiments 2. Classical Probability Spaces 3. Fields 4. Finitely Additive Probability 5. Sigma Fields 6. Countably Additive Probability 7. Conditional Probability and Independence 8. Random Variables and Their Distributions 9. Expectations and Variance 10. Conditional Expectation 11. Characteristic Functions 12. Limit Theorems |
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