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A First Course In Probability
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JPY 17900
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A First Course In Probability 7th Edition presents the mathematical theory of probability for readers in the fields of engineering and the sciences who possess knowledge of elementary calculus.
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製品詳細
- The 7th edition of A First Course In Probability
- Authored by Sheldon Ross
- Provides a comprehensive introduction to probability theory
- Covers a wide range of topics such as random variables, limit theorems, and Markov chains
- Includes numerous examples and exercises to reinforce learning
- Suitable for students and professionals in the fields of mathematics, statistics, and engineering
| Publisher | Pearson College Div |
| Publication date | January 1, 2005 |
| Edition | 7th |
| Language | English |
| Print length | 565 pages |
| ISBN-10 | 0131856626 |
| ISBN-13 | 978-0131856622 |
| Item Weight | 2.12 pounds (960 grams) |
| Dimensions | 7 x 1 x 9.25 inches (17.8 x 2.5 x 23.5 cm) |
どんな人にお勧めですか?
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Undergraduate Students
Ideal for undergraduate students majoring in mathematics, statistics, or related fields seeking foundational knowledge in probability.
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Self-learners
Great for self-learners who wish to gain a strong understanding of probability concepts at their own pace.
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Instructors
Useful for instructors looking for a comprehensive textbook to teach introductory probability courses effectively.
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Advanced Researchers
Not suitable for advanced researchers in probability who need specialized topics or cutting-edge theories beyond introductory material.
製品説明書
A First Course In Probability
About This Item
Introducing the "A First Course In Probability 7th Edition" Looking to gain a strong understanding of probability theory? Look no further than the "A First Course In Probability 7th Edition." This comprehensive textbook is designed to provide you with a solid foundation in the fundamentals of probability. Whether you're a student studying mathematics or a professional in a field that requires a strong grasp of probability, this seventh edition has got you covered. With its clear and concise explanations, this textbook makes complex probability concepts easy to understand. Why choose this book? Here's what sets the "A First Course In Probability 7th Edition" apart: 1. Comprehensive Coverage: This book covers all the essential topics you need to know, including set theory, random variables, conditional probability, and more.
It also delves into more advanced concepts such as Markov chains and stochastic processes. 2. Real-World Examples: To help you apply probability theory to real-life situations, this book includes a wide range of examples from various fields, such as finance, engineering, and biology. By solving these examples, you'll develop a practical understanding of probability. 3.
Exercises and Problems: Reinforce your understanding of the material with a multitude of exercises and problems. These range from simple multiple-choice questions to challenging, thought-provoking problems that require deeper analysis. 4. Clear and Engaging Writing Style: Don't let the complex subject matter intimidate you.
The "A First Course In Probability 7th Edition" is written in a clear and engaging style that makes learning probability enjoyable. The author provides step-by-step explanations and uses relatable examples to ensure comprehension. 5. Updated Content: The seventh edition includes new material and revised sections to reflect the latest advancements and developments in probability theory.
You can trust that you're learning from the most up-to-date information available. Whether you're studying for an exam or seeking to enhance your knowledge in probability theory, the "A First Course In Probability 7th Edition" is your ultimate resource. Start your journey towards becoming a probability expert today. Don't miss out on this opportunity to delve into the world of probability. Get your copy of "A First Course In Probability 7th Edition" now and unlock the power of probability theory.
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Probability & Statistics Editorial Review
A First Course In Probability offers a comprehensive introduction to probability theory, making it a suitable choice for both beginners and those with a background in multivariable calculus. It features 565 pages filled with a variety of examples and exercises, which can be beneficial for reinforcing concepts learned. While the book is generally praised for its depth and clarity, some readers noted the lack of context for certain terms and concepts introduced, potentially leaving beginners seeking more foundational explanations at a disadvantage. However, many still find it a valuable reference for ongoing study in the field of probability.
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長所
- Excellent treatment of probability concepts
- Lots of examples and exercises provided
- Great for those with multivariable calculus background
- Useful as a reference book for future studies
- Good condition reported by several users
短所
- Some concepts lack sufficient context for beginners
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JPY 17900
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特徴と利点
- Presents new examples and exercises throughout.
- Offers an elegant way of computing the moments of random variables defined as the number of events that occur.
- Gives applications to binomial, hypergeometric, and negative hypergeometric random variables.
- Provides additional results on inclusion-exclusion identity, Poisson paradigm, multinomial distribution, and bivariate normal distribution.
- Useful reference for engineering and science professionals.
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