Maximum Entropy and Bayesian Methods in Applied Statistics (English, James H. Justice | James H. Justice)
by James H. Justice | James H. Justice
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Maximum Entropy and Bayesian Methods in Applied Statistics by James H. Justice | James H. Justice is listed under Statistics on BookBajar. Full details, specifications and reader reviews are below.
Book Details
Publisher
Cambridge University Press
Language
English
ISBN-13
9780521096034
ISBN-10
0521096030
Author
James H. Justice | James H. Justice
About the Book
This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data. The problem of choosing one among the many possible conclusions or models which are compatible with the data may be resolved in a…
ISBN: 9780521096034
ISBN-13: 9780521096034
ISBN-10: 0521096030
Reader's Guide
What This Book Covers
- ·The main subject matter of Maximum Entropy and Bayesian Methods in Applied Statistics
- ·Ideas and detail relevant to Statistics
- ·Context that helps make sense of the material as a whole
Best Suited For
Readers with an interest in Statistics, from students to hobbyists.
Why It Stands Out
- ·Ships as a genuine physical copy, checked before dispatch
- ·Covered by BookBajar's 15-day return window
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James H. Justice | James H. Justice is the author of Maximum Entropy and Bayesian Methods in Applied Statistics. Browse more books by James H. Justice | James H. Justice on BookBajar.
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What is the ISBN of Maximum Entropy and Bayesian Methods in Applied Statistics?
Maximum Entropy and Bayesian Methods in Applied Statistics has ISBN 9780521096034 (ISBN-10: 0521096030). Use this to confirm you're ordering the exact edition listed here.
What can I expect from Maximum Entropy and Bayesian Methods in Applied Statistics?
About the Book This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application.
Product ID: isbn-9780521096034
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