Title
Introduction To Probability
Delivery time: 8-12 business days (International)
An Intuitive, Yet Precise Introduction To Probability Theory, Stochastic Processes, And Probabilistic Models Used In Science, Engineering, Economics, And Related Fields. This Is The Currently Used Textbook For Probabilistic Systems Analysis, An Introductory Probability Course At The Massachusetts Institute Of Technology, Attended By A Large Number Of Undergraduate And Graduate Students. The Book Covers The Fundamentals Of Probability Theory (Probabilistic Models, Discrete And Continuous Random Variables, Multiple Random Variables, And Limit Theorems), Which Are Typically Part Of A First Course On The Subject. It Also Contains, A Number Of More Advanced Topics, From Which An Instructor Can Choose To Match The Goals Of A Particular Course. These Topics Include Transforms, Sums Of Random Variables, Least Squares Estimation, The Bivariate Normal Distribution, And A Fairly Detailed Introduction To Bernoulli, Poisson, And Markov Processes. The Book Strikes A Balance Between Simplicity In Exposition And Sophistication In Analytical Reasoning. Some Of The More Mathematically Rigorous Analysis Has Been Just Intuitively Explained In The Text, But Is Developed In Detail (At The Level Of Advanced Calculus) In The Numerous Solved Theoretical Problems. The Book Has Been Widely Adopted For Classroom Use In Introductory Probability Courses Within The Usa And Abroad.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of 'Introduction To Probability'? A: The book provides an intuitive yet precise introduction to probability theory, covering fundamental concepts such as probabilistic models, random variables, and limit theorems.
- Q: Who is the author of this textbook? A: 'Introduction To Probability' is authored by Dimitri P. Bertsekas, a well-respected figure in the field of probability and statistics.
- Q: What is the publication date of this book? A: The book was published on June 24, 2002, and is currently in its first edition.
- Q: Is this textbook suitable for beginners? A: Yes, the book is designed as an introductory text and is suitable for both undergraduate and graduate students new to probability.
- Q: What type of binding does this book have? A: 'Introduction To Probability' is available in hardcover binding, providing durability and longevity for classroom use.
- Q: How many pages does the book contain? A: The textbook consists of 416 pages, offering a comprehensive overview of probability theory and its applications.
- Q: What condition is the book in? A: The book is listed as 'Acceptable' condition, indicating it may have some wear but is still useable for study.
- Q: Are there advanced topics included in the book? A: Yes, the book includes advanced topics such as transforms, least squares estimation, and an introduction to various stochastic processes.
- Q: What audience is this book primarily targeted at? A: The book is primarily targeted at students in introductory probability courses, especially those at institutions like the Massachusetts Institute of Technology.
- Q: Can this book be used for self-study? A: Yes, the clear explanations and numerous solved problems make it suitable for self-study by individuals interested in probability theory.