Exclusive Content & Downloads from ASQ

A Generalized Cp Criterion for Derivative Estimation

Summary: [This abstract is based on the authors' abstract.] The values chosen for tuning parameters affect the performance of a nonparametric regression method. Relatively few studies have addressed selecting a tuning parameter for derivative estimation. This article proposes a generalized Cp criterion for tuning parameter selection. This criterion is useful for any nonparametric regression method with linearly estimated derivatives in the observed responses. Simulation studies supporting the method and theoretical justification are supplied, as is a practical application in analytic chemistry.

Anyone with a subscription, including Site and Enterprise members, can access this article.

Other Ways to Access content:

Join ASQ

Join ASQ as a Full member. Enjoy all the ASQ member benefits including access to many online articles.

  • Topics: Statistics
  • Keywords: Nonparametric methods, Parameters, Pattern recognition, Regression
  • Author: Charnigo, Richard; Hall, Benjamin; Srinivasan, Cidambi
  • Journal: Technometrics