Double points in nonlinear calibration

Philip J. Brown*, Samuel D. Oman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

SUMMARY: In nonlinear calibration and regression a double point is defined with respect to estimation and to confidence sets. Loosely speaking, if a future observation is a double point then multiple point estimates or disconnected confidence regions will occur. We investigate the extent of the set of double points. A diagnostic, the probability of their occurrence, is computed.

Original languageEnglish
Pages (from-to)33-43
Number of pages11
JournalBiometrika
Volume78
Issue number1
DOIs
StatePublished - Mar 1991

Keywords

  • Confidence interval
  • Differential geometry
  • Double point
  • Estimation
  • Intrinsic curvature
  • Multivariate nonlinear calibration
  • Nonlinear regression

Fingerprint

Dive into the research topics of 'Double points in nonlinear calibration'. Together they form a unique fingerprint.

Cite this