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

Eeke van der Burg and Jan de Leeuw

Applied Stochastic Models and Data Analysis, 1988, vol. 4, issue 3, 159-172

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.

Date: 1988
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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmda:v:4:y:1988:i:3:p:159-172

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