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34832018
Wiley Probability and Statistics Bayesian Theory, Book 533, (Paperback)
Vare #:
34832018
DKK 552
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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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Hvad der skiller sig ud
Comprehensive Coverage
This book offers an extensive overview of Bayesian theory in probability and statistics, making complex concepts accessible for students and professionals seeking a thorough understanding of this advanced topic.
Practical Applications
Real-world examples and practical applications enhance learning, demonstrating how Bayesian methods can be applied in various fields, including data science, economics, and medicine.
Quality Content
Published by Wiley, this paperback ensures high-quality content and rigorous academic standards, making it a reliable resource for anyone looking to master Bayesian theory while enjoying an engaging reading experience.
Produktdetaljer
- 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 |
Hvem bør købe?
-
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.
Produktbeskrivelse
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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Kundespørgsmål og svar
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spørgsmål:
Is prior knowledge of abstract measure theory required to understand the content?
svar: No, the book does not assume knowledge of abstract measure theory and emphasizes statistical concepts rather than rigorous mathematics. -
spørgsmål:
Who is the target audience for this book?
svar: The book is an ideal source for students and researchers in statistics, mathematics, decision analysis, economics, business studies, and all branches of science and engineering. -
spørgsmål:
What role do non-Bayesian theories play in the book?
svar: The book provides an overview of non-Bayesian theories in addition to the committed Bayesian perspective, offering a wide-ranging critical re-examination of controversial issues.
John Wiley & Sons All Books Editorial Review
Wiley Probability and Statistics Bayesian Theory, Book 533, is a comprehensive paperback textbook published by John Wiley & Sons in May 2000. Spanning 608 pages, it addresses professional and scholarly reading levels, focusing on probability and statistics in a non-fiction format. This edition, part of the Wiley Probability and Statistics series, is intended for those in general mathematics educational levels. It features a perfect binding, making it robust for academic use. The book's dimensions are 6.00 x 1.35 x 9.00 inches, weighing 1.95 lb, which makes it a convenient resource for both classroom and self-study settings.
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Fordele
- High-quality textbook for advanced study
- Comprehensive coverage of Bayesian theory
- Perfect binding ensures durability
- Suitable for professional and scholarly readers
- Well-structured educational resource
Ulemper
- May be too technical for beginners
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DKK 552
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Egenskaber og fordele
- 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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