Leverage and superleverage in nonlinear regression

Roy T. St. Laurent, R. D. Cook, Roy T St Laurent

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)985-990
JournalJournal of the American Statistical Association
Volume87
DOIs
StatePublished - 1992

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Nonlinear Regression
Leverage
Nonlinear Regression Model
Nonlinear Model
Linear Model
Exceed
Upper bound
Methodology
Observation

Cite this

Leverage and superleverage in nonlinear regression. / St. Laurent, Roy T.; Cook, R. D.; St Laurent, Roy T.

In: Journal of the American Statistical Association, Vol. 87, 1992, p. 985-990.

Research output: Contribution to journalArticle

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