Leverage and superleverage in nonlinear regression

Roy T. St Laurent, R. Dennis Cook

Research output: Contribution to journalArticlepeer-review

35 Scopus citations


Several measures of the leverage of an observation in a nonlinear regression model are defined and developed. In contrast to the upper bound on the leverage in a linear model, it is found that in a nonlinear model the leverage of an observation may exceed 1. Such a case is said to exhibit superleverage. Relationships between the leverage measures are explored, and several examples are developed to illustrate the proposed methodology. © 1992 Taylor & Francis Group, LLC.

Original languageEnglish (US)
Pages (from-to)985-990
Number of pages6
JournalJournal of the American Statistical Association
Issue number420
StatePublished - 1992


Dive into the research topics of 'Leverage and superleverage in nonlinear regression'. Together they form a unique fingerprint.

Cite this