Use of the multinomial jack-knife and bootstrap in generalized non-linear canonical correlation analysis

Eeke van der Burg, Jan de Leeuw

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Abstract

In this paper we discuss the estimation of mean and standard errors of the eigenvalues and category quantifications in generalized non-linear canonical correlation analysis (OVERALS). Starting points are the delta method equations, but the jack-knife and bootstrap are used to provide finite difference approximations to the derivatives.
Original languageUndefined
Pages (from-to)159-172
JournalApplied stochastic models and data analysis
Volume4
Issue number3
DOIs
Publication statusPublished - 1988

Keywords

  • IR-70849

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