Home » Technical Topics » Data Science

All-purpose, Robust, Fast, Simple Non-linear Regression


  • Watch APEXX W3: The Data Science Workstation, and learn how an NVIDIA-certified BOXX workstation can accelerate your workflow. Access video here
  • Use real-time anomaly detection reference patterns to combat fraud | Google. Read full article.
  • Merrimack College offers three online master’s degrees in data science, business analytics, or healthcare analytics – all designed to accommodate working professionals and developed and taught by industry experts. Gain a deeper understanding of data visualization, statistical analysis, machine learning, and business strategy to deliver data-driven insights that impact real-world decisions. Learn more here

All-purpose, Robust, Fast, Simple Non-linear Regression

The model-free, data-driven technique discussed here is so basic that it can easily be implemented in Excel, and we actually provide an Excel implementation. It is surprising that this technique does not pre-date standard linear regression, and is rarely if ever used by statisticians and data scientists. It is related to kriging and nearest neighbor interpolation, and apparently first mentioned in 1965 by Harvard scientists working on GIS (geographic information systems). It was referred back then as Shepard’s method or inverse distance weighting, and used for multivariate interpolation on non-regular grids. We call this technique simple regression. Read full article here


This email, and all related content, is published by Data Science Central, a division of TechTarget, Inc.
275 Grove Street, Newton, Massachusetts, 02466 US

You are receiving this email because you are a member of TechTarget. When you access content from this email, your information may be shared with the sponsors or future sponsors of that content and with our Partners, see up-to-date Partners List below, as described in our Privacy Policy. For additional assistance, please contact: [email protected]

© 2020 TechTarget, Inc. all rights reserved. Designated trademarks, brands, logos and service marks are the property of their respective owners.
Privacy Policy | Partners List