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Item #:
225880095
Introduction to Bayesian Statistics
Item #:
225880095
SAR 242
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This book presents Bayes’ theorem in a simple manner that is easy to comprehend.
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What Stands Out
Comprehensive Overview
This guide offers an in-depth exploration of Bayesian statistics, catering to both beginners and advanced practitioners interested in understanding its principles and applications.
Practical Applications
Real-world case studies and examples illustrate how Bayesian methods can be applied to solve complex problems, making the content highly relevant for data-driven decision-making.
Accessible Learning
Clear explanations and intuitive graphics simplify complex concepts, ensuring readers can grasp Bayesian statistical methods without prior extensive mathematical knowledge.
Product Details
| Publisher | Springer |
| Publication date | 30 July 2007 |
| Edition | Second Edition 2007 |
| Language | English |
| Print length | 261 pages |
| ISBN-10 | 354072723X |
| ISBN-13 | 978-3540727231 |
| Item weight | 210 g |
| Dimensions | 16.84 x 1.88 x 23.7 cm |
Product Description
Introduction to Bayesian Statistics
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Statistics & Probability Editorial Review
Introduction To Bayesian Statistics is an essential read for anyone interested in understanding Bayesian methods, published by Springer. The second edition, released on July 30, 2007, spans 261 pages and is presented in English. With its well-structured content, this book aids readers in grasping complex statistical concepts with clarity. The approachable writing style makes it suitable for beginners and seasoned statisticians alike. Its ISBN-10 is 354072723X, and ISBN-13 is 978-3540727231, ensuring easy identification for readers and libraries. Overall, this textbook is a valuable addition to the field of statistics, appreciated for its completeness and utility.
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Pros
- Well-structured content for better understanding
- Approachable writing style for beginners
- Covers complex concepts with clarity
- Valuable resource for seasoned statisticians
- Widely recognized for its completeness
Cons
- May not cover advanced Bayesian topics in depth
Product Price History
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Features & Benefits
- Comprehensive introduction to Bayesian statistics.
- Explains Bayes’ theorem and parameter estimation.
- Offers clear determination of confidence regions.
- Provides logical comparisons of traditional and Bayesian methods.
- Facilitates intuitive understanding of random variables.
- Accessible and easy to read for all levels of learners.
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