Title
Data Analysis: A Bayesian Tutorial,New
Delivery time: 8-12 business days (International)
This is the first book on the maximum entropy and Bayesian methods aimed at senior undergraduates in science and engineering. It takes the mystery out of statistics by showing how a few fundamental rules can be used to tackle a wide variety of problems in data analysis. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimization, least squares and maximum likelihood, errorpropagation, hypothesis testing, maximum entropy, and experimental design. As a logical and unified approach to the subject of data analysis, with a selfcontained tutorial approach, this work will be valued by instructors and students alike.
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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 'Data Analysis: A Bayesian Tutorial'? A: The book primarily focuses on maximum entropy and Bayesian methods, specifically designed for senior undergraduates in science and engineering.
- Q: What topics are covered in this book? A: It covers a variety of topics including Bayesian probability theory, parameter estimation, image processing, reliability analysis, multivariate optimization, least squares, and experimental design.
- Q: How many pages does the book have? A: The book contains a total of 208 pages.
- Q: What is the condition of the book? A: The book is listed as 'Very Good' condition.
- Q: Who is the author of the book? A: The author of 'Data Analysis: A Bayesian Tutorial' is D. S. Sivia.
- Q: When was this book published? A: The book was published on September 26, 1996.
- Q: What type of binding does the book have? A: This book is available in paperback binding.
- Q: Is this book suitable for beginners in statistics? A: While it is aimed at senior undergraduates, the book takes a self-contained tutorial approach that can also be helpful for beginners in statistics.
- Q: Does the book provide practical examples? A: Yes, the book illustrates Bayesian methods with a variety of practical examples, making complex concepts more accessible.
- Q: Can this book be used for self-study? A: Yes, the self-contained tutorial style of the book makes it suitable for self-study.