A Note on Linear and Second Order SignificanceTesting in Nonlinear Models

  •  Michael Brimacombe    


A modified ANOVA setting is used to develop a one degree of freedom test for intrinsic curvature effect. The approach provides clear cutoffs for the measurement of intrinsic curvature effect. It is shown that the significance of the correction factor itself and its usefulness in correcting a global test based on linear approximation are distinct elements. They depend on the local frame of reference provided by the model-data combination and null hypothesis considered.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1927-7032
  • ISSN(Online): 1927-7040
  • Started: 2012
  • Frequency: bimonthly

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