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Studies in Systems, Decision and Control

Advances in Automated Valuation Modeling

AVM After the Non-Agency Mortgage Crisis

Editors: d'Amato, Maurizio, Kauko, Tom (Eds.)

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  • Discusses the latest automated valuation modeling (AVM) research 
  • Focuses on automated valuation modeling (AVM) and computer-assisted modeling
  • Presents applications of numerical methods on mass appraisal models 
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  • ISBN 978-3-319-49746-4
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About this book

This book addresses several problems related to automated valuation methodologies (AVM). Following the non-agency mortgage crisis, it offers a variety of approaches to improve the efficiency and quality of an automated valuation methodology (AVM) dealing with emerging problems and different contexts. Spatial issue, evolution of AVM standards, multilevel models, fuzzy and rough set applications and quantitative methods to define comparables are just some of the topics discussed.

Table of contents (22 chapters)

Table of contents (22 chapters)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-3-319-49746-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
  • ISBN 978-3-319-49744-0
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $139.99
price for USA in USD
  • ISBN 978-3-319-84231-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Advances in Automated Valuation Modeling
Book Subtitle
AVM After the Non-Agency Mortgage Crisis
Editors
  • Maurizio d'Amato
  • Tom Kauko
Series Title
Studies in Systems, Decision and Control
Series Volume
86
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-49746-4
DOI
10.1007/978-3-319-49746-4
Hardcover ISBN
978-3-319-49744-0
Softcover ISBN
978-3-319-84231-8
Series ISSN
2198-4182
Edition Number
1
Number of Pages
XXXVIII, 418
Number of Illustrations
39 b/w illustrations
Topics

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