Email the Author

You can use this page to email Sid Som about A Beginner’s Guide to Automated Valuation Modeling (AVM): Step-By-Step Demonstration of Model Development with Real-World Data and Numerous Illustrations.

Please include an email address so the author can respond to your query

This message will be sent to Sid Som

This site is protected by reCAPTCHA and the Google  Privacy Policy and  Terms of Service apply.

About the Book

"A Beginner's Guide to Automated Valuation Modeling (AVM)" is a practical and comprehensive book that delves into the intricacies of creating an AVM. Authored by Sid Som, the book comprises ten detailed chapters that meticulously guide readers through the essential processes of developing an AVM using actual sales data from diverse counties.

The book begins by explaining the different types of variables, such as continuous, binary, discrete, and ratio, and demonstrates how to encode them effectively. Throughout the chapters, readers will learn how to derive a representative sales sample, adjust sale prices for time, address fixed and location surfaces, manage correlation and multicollinearity, conduct regression modeling and residual analysis, identify and remove outliers using Z-scores, fine-tune the model, analyze sales ratios, apply the model to holdout samples and the population, and more. Each chapter is richly supplemented with data tables, statistical outputs, summaries, charts, and graphs to enhance understanding of the concepts discussed. To further aid readers, Excel steps and SAS codes are provided at the end of each chapter for practical implementation.

"A Beginner's Guide to Automated Valuation Modeling (AVM)" is a comprehensive resource that equips individuals with the necessary tools to master AVM, covering every aspect thoroughly. The author's meticulous and structured approach ensures readers are well-prepared to navigate its complexities. This book serves as a roadmap, offering a blend of theoretical insights and practical guidance, making the audience feel knowledgeable and confident about AVM techniques.

The book is not just a theoretical exploration of AVM but a practical guide that engages readers with real-world examples. The detailed illustrations and comprehensive step-by-step approach make this book indispensable for anyone venturing into automated valuation modeling. By presenting real-world scenarios, the author ensures that readers not only learn theory but also gain practical insights that can be applied immediately.


About the Author

Sid Som’s avatar Sid Som

Logo white 96 67 2x

Publish Early, Publish Often

  • Path
  • There are many paths, but the one you're on right now on Leanpub is:
  • Automatedvaluationmodel › Email Author › New
    • READERS
    • Newsletters
    • Weekly Sale
    • Monthly Sale
    • Store
    • Home
    • Redeem a Token
    • Search
    • Support
    • Leanpub FAQ
    • Leanpub Author FAQ
    • Search our Help Center
    • How to Contact Us
    • FRONTMATTER PODCAST
    • Featured Episode
    • Episode List
    • MEMBERSHIPS
    • Reader Memberships
    • Department Reader Memberships
    • Author Memberships
    • Your Membership
    • COMPANY
    • About
    • About Leanpub
    • Blog
    • Contact
    • Press
    • Essays
    • AI Services
    • Imagine a world...
    • Manifesto
    • More
    • Partner Program
    • Causes
    • Accessibility
    • AUTHORS
    • Write and Publish on Leanpub
    • Create a Book
    • Create a Bundle
    • Create a Course
    • Create a Track
    • Testimonials
    • Why Leanpub
    • Services
    • AccessibilityPro (NEW!)
    • Author Quickstart (NEW!)
    • CourseAI
    • TranslateAI
    • GlobalAuthor
    • IndexAI
    • Launch Quickstart (NEW!)
    • Marketing Packages
    • PublishWord
    • Publish on Amazon
    • Author Newsletter
    • The Leanpub Author Update
    • Author Support
    • Author Help Center
    • Leanpub Authors Forum
    • The Leanpub Manual
    • Supported Languages
    • The LFM Manual
    • Markua Manual
    • API Docs
    • Organizations
    • Learn More
    • Sign Up
    • LEGAL
    • Terms of Service
    • Copyright Policy
    • Privacy Policy
    • Refund Policy

*   *   *

Leanpub is copyright © 2010-2025 Ruboss Technology Corp.
All rights reserved.

This site is protected by reCAPTCHA
and the Google  Privacy Policy and  Terms of Service apply.

Leanpub requires cookies in order to provide you the best experience. Dismiss