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2024 | OriginalPaper | Chapter

7. Analytics to Model Nonlinear Response

Author : Cynthia Fraser

Published in: Business Statistics for Competitive Advantage with Excel and JMP

Publisher: Springer Nature Switzerland

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Abstract

In many cases, trends (and other responses) are not constant over time periods. To accommodate nonlinear response, variables can be rescaled to produce valid models with superior fit. An example will be offered in the context of trend models built for forecasting.

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previous chapter Analytics to Account for Segment or Scenario Differences
next chapter Building Multiple Regression Models
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Metadata
Title
Analytics to Model Nonlinear Response
Author
Cynthia Fraser
Copyright Year
2024
Book
Business Statistics for Competitive Advantage with Excel and JMP

Print ISBN: 978-3-031-42554-7

Electronic ISBN: 978-3-031-42555-4

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-3-031-42555-4_7