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

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  • Eeke van der Burg
  • Jan de Leeuw

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.

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  • Eeke van der Burg & Jan de Leeuw, 1988. "Use of the multinomial jack‐knife and bootstrap in generalized non‐linear canonical correlation analysis," Applied Stochastic Models and Data Analysis, John Wiley & Sons, vol. 4(3), pages 159-172, September.
    • Handle: RePEc:wly:apsmda:v:4:y:1988:i:3:p:159-172
    DOI: 10.1002/asm.3150040304
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