Principal components for multivariate functional data
نویسندگان
چکیده
منابع مشابه
Principal components for multivariate functional data
A principal component method for multivariate functional data is proposed. Data can be arranged in a matrix whose elements are functions so that for each individual a vector of p functions is observed. This set of p curves is reduced to a small number of transformed functions, retaining as much information as possible. The criterion to measure the information loss is the integrated variance. Un...
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ژورنال
عنوان ژورنال: Computational Statistics & Data Analysis
سال: 2011
ISSN: 0167-9473
DOI: 10.1016/j.csda.2011.03.011