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

van der Burg Eeke | Zendy; de Leeuw Jan | Zendy

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

Author(s) -

van der Burg Eeke,

de Leeuw Jan

Publication year - 1988

Publication title -

applied stochastic models and data analysis

Language(s) - English

Resource type - Journals

eISSN - 1099-0747

pISSN - 8755-0024

DOI - 10.1002/asm.3150040304

Subject(s) - canonical correlation , mathematics , multinomial distribution , canonical analysis , eigenvalues and eigenvectors , correlation , linear model , statistics , canonical form , canonical correspondence analysis , standard error , pure mathematics , physics , geometry , quantum mechanics , fishery , abundance (ecology) , biology

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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