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Wiley Probability and Statistics Bayesian Theory, Book 533, (Paperback)
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A thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory.
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What Stands Out
Produkto Aprašymas
- Highly acclaimed text with thorough account of key concepts and theoretical results
- Emphasis on statistical inference as a special case of decision theory
- Central role of information-theoretic concepts in the theory development
- Detailed discussion of the problem of prior ignorance specification
- Accessible to readers with knowledge of advanced calculus, no assumption of abstract measure theory knowledge
- Ideal source for students and researchers in statistics, mathematics, decision analysis, economics, business studies, science, and engineering
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | May, 2000 |
| Pages | 608 |
| Reading level | Professional and Scholarly |
| Subgenre | General |
| Series title | Wiley Probability and Statistics |
| Number in series | 533 |
| Edition | 1 |
| Publisher | John Wiley & Sons |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | General |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.00 x 1.35 x 9.00 in (15.2 x 3.4 x 22.9 cm) |
| Assembled product weight | 1.95 lb (880 grams) |
| Bisac subject heading | Medical |
Who Should Buy?
-
Statistics Students
Ideal for undergraduate and graduate students learning Bayesian statistics in courses or self-study environments.
-
Data Analysts
Useful for professionals in data analysis seeking to enhance their understanding of Bayesian methods and applications.
-
Research Professionals
Beneficial for researchers utilizing Bayesian approaches in various fields like economics, psychology, or social science.
-
Casual Readers
Not suitable for those seeking light reading or casual introductions to probability and statistics concepts.
PRODUKTO APRAŠYMAS
About This Item
Introducing the Wiley Probability and Statistics: Bayesian Theory Series #533 Paperback. This book is a must-have for anyone seeking a comprehensive understanding of probability and statistics from a Bayesian perspective. Written by renowned authors, José M Bernardo and Adrian F M Smith, this book is the ultimate guide to Bayesian theory.
With an ISBN of 9780471494645, this paperback edition offers a convenient and portable format for studying and referencing. Its publication date of 2000-05-18 signifies its relevance and reliability in providing up-to-date information on the subject. Whether you are a student, researcher, or simply interested in expanding your knowledge in probability and statistics, this book covers all the essential topics and concepts. From the fundamentals of Bayesian theory to advanced applications and techniques, this comprehensive resource has it all. Wiley Probability and Statistics: Bayesian Theory Series #533 Paperback is part of the esteemed Wiley series, known for its excellence in educational materials.
By choosing this book, you can trust that you are investing in a reliable and well-respected resource. Don't miss out on the opportunity to enhance your understanding of Bayesian theory and its intersection with probability and statistics. Order your copy of Wiley Probability and Statistics: Bayesian Theory Series #533 Paperback today and unleash the power of Bayesian inference in your research and analysis.
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Savybės ir privalumai
- Highly acclaimed text now available in paperback
- Emphasis on statistical inference as a special case of decision theory
- Information-theoretic concepts play a central role
- Committed Bayesian perspective with overview of non-Bayesian theories
- Accessible to readers with knowledge of advanced calculus
- Ideal source for students and researchers in statistics, mathematics, decision analysis, economics, business studies, and science and engineering
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