Description length and dimensionality reduction in functional data analysis

Computational Statistics and Data Analysis

Volumn 58, Issue 1, 2013, Pages 98-113

  Poskitt, D S ^a   Sengarapillai, Arivalzahan ^a,b  

^a MONASH UNIVERSITY   (Australia)

^b UNIVERSITY OF JAFFNA   (Sri Lanka)

Author keywords

Bootstrap; Consistency; Dimension determination; Karhunen Lo ve expansion; Signal to noise ratio; Variance decomposition

Indexed keywords

BASIS FUNCTIONS; BOOTSTRAP; CONSISTENCY; CONVENTIONAL SENSE; DIMENSION DETERMINATION; DIMENSIONALITY REDUCTION; FINITE DIMENSIONS; FLEXIBLE DEFINITION; FUNCTIONAL DATA ANALYSIS; FUNCTIONAL DATAS; GENERATING MECHANISM; LOW NOISE; MASS SPECTROSCOPY; PRINCIPLE COMPONENT; RANDOM FUNCTIONS; THEORETICAL RESULT; VARIANCE DECOMPOSITION;

CLIMATOLOGY;

MASS SPECTROMETRY;

EID: 84869062895     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2011.03.018     Document Type: Article

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