Data Analysis: A Bayesian Tutorial,New

Data Analysis: A Bayesian Tutorial,New

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SKU: DADAX0198518897
Brand: OXFORD UNIVERSITY PRESS
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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.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • 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.

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