Testing for Lack of Fit in Nonlinear Regression

  • Neill J
N/ACitations
Citations of this article
19Readers
Mendeley users who have this article in their library.

Abstract

The problem of testing the correctness of a nonlinear response function against unspecified general alternatives is considered. The proposed test statistic is a modification of a nonlinear analogue to the well-known linear regression lack-of-fit test and can be used with or without replication. Asymptotically valid critical points can be obtained from a central F-distribution. Also, when the null model is the orthogonal projection of the true model, the test statistic is asymptotically comparable to a random variable with a noncentral F-distribution.

Cite

CITATION STYLE

APA

Neill, J. W. (2007). Testing for Lack of Fit in Nonlinear Regression. The Annals of Statistics, 16(2). https://doi.org/10.1214/aos/1176350831

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free