6533b7dafe1ef96bd126ea52

RESEARCH PRODUCT

The Analysis of Auxological Data by Means of Nonlinear Multivariate Growth Curves

Marcello ChiodiAngelo Mineo

subject

Data setNonlinear systemFactorialMultivariate statisticsPolynomialAutocorrelationContext (language use)Data miningcomputer.software_genreNonlinear regressioncomputerAlgorithmMathematics

description

In this paper we treat the problem to analyse a data set constituted by multivariate growth curves for different subjects; thus in this context we deal with 3-way data tables. Nevertheless, it is not possible using factorial techniques proposed to deal with 3-way data matrices, because the observations are generally not equally spaced; moreover a multilevel approach founded on polynomial models is not suitable to deal with intrinsic nonlinear models. We propose a non-factorial technique to analyse auxological data sets using an intrinsic nonlinear multivariate growth model with autocorrelated errors. The application to a real data set of growing children gave easily interpretable results.

yearjournalcountryeditionlanguage
1999-01-01
https://doi.org/10.1007/978-3-642-60126-2_31