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Bayesian Networks: A Practical Guide to Applications (Statistics in Practice)

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eBay item number:166993444702
Last updated on 17 May, 2025 02:24:17 BSTView all revisionsView all revisions

Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
EAN
9780470060308
UPC
9780470060308
ISBN
9780470060308
MPN
N/A
Book Title
Bayesian Networks: A Practical Guide to Applicatio
Item Length
23 cm
Publication Name
Bayesian Networks: a Practical Guide to Applications
Publisher
John Wiley & Sons INC International Concepts
Subject
Engineering & Technology, Mathematics
Publication Year
2008
Series
Statistics in Practice
Type
Textbook
Format
Hardcover
Language
English
Item Height
242 mm
Author
Patrick Naim, Olivier Pourret, Bruce Marcot
Item Weight
678 g
Item Width
161 mm
Number of Pages
446 Pages

About this product

Product Information

Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis. This book provides a general introduction to Bayesian networks, defining and illustrating the basic concepts with pedagogical examples and twenty real-life case studies drawn from a range of fields including medicine, computing, natural sciences and engineering. Designed to help analysts, engineers, scientists and professionals taking part in complex decision processes to successfully implement Bayesian networks, this book equips readers with proven methods to generate, calibrate, evaluate and validate Bayesian networks. The book: Provides the tools to overcome common practical challenges such as the treatment of missing input data, interaction with experts and decision makers, determination of the optimal granularity and size of the model. Highlights the strengths of Bayesian networks whilst also presenting a discussion of their limitations. Compares Bayesian networks with other modelling techniques such as neural networks, fuzzy logic and fault trees. Describes, for ease of comparison, the main features of the major Bayesian network software packages: Netica, Hugin, Elvira and Discoverer, from the point of view of the user. Offers a historical perspective on the subject and analyses future directions for research. Written by leading experts with practical experience of applying Bayesian networks in finance, banking, medicine, robotics, civil engineering, geology, geography, genetics, forensic science, ecology, and industry, the book has much to offer both practitioners and researchers involved in statistical analysis or modelling in any of these fields.

Product Identifiers

Publisher
John Wiley & Sons INC International Concepts
ISBN-13
9780470060308
eBay Product ID (ePID)
89729168

Product Key Features

Number of Pages
446 Pages
Publication Name
Bayesian Networks: a Practical Guide to Applications
Language
English
Subject
Engineering & Technology, Mathematics
Publication Year
2008
Type
Textbook
Author
Patrick Naim, Olivier Pourret, Bruce Marcot
Series
Statistics in Practice
Format
Hardcover

Dimensions

Item Height
242 mm
Item Weight
678 g
Item Width
161 mm

Additional Product Features

Editor
Patrick Naim, Olivier Pourret, Bruce Marcot
Country/Region of Manufacture
United States

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    Item arrived on time and was packaged well. The item was exactly as advertised and was amazing value compared to other places. The seller was also incredibly speedy at replying to my enquiries. Although it was not the fault of the seller (the packaging used to send the item was more than sufficient), my figure did have a manufacturing defect (the left hand was broken off). Thankfully superglue put it back in place and no one can tell it was broken.
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    Item as described, well packaged, great price, unfortunately it took 9 days to arrive from stated dispatch date and seller didn’t respond to my request to investigate why tracking was still showing it as awaiting dispatch for a number of days.
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    Item came perfectly described with good packaging. Only issue is dispatch time and communication takes a while, thankfully came in time for what it was intended. Price is really good and super informative tutorials inside.