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Nonlinear Regression Modeling for Engineering Applications: Modeling, Model Validation, and Enabling Design of Experiments

By
R. Russell Rhinehart
R. Russell Rhinehart
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ISBN:
9781118597965
No. of Pages:
400
Publisher:
ASME-Wiley
Publication date:
2016

Data processing means that you, as the user, decide to discard data, adjust data, or create data. In general, these sorts of manipulation are counter to the scientific method and honesty in investigation, but often data processing can be justified. However, one must be careful not to transgress propriety.

14.1
Introduction
14.2
Pre-processing Techniques
14.3
Post-processing
14.4
Takeaway
Exercises
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