Analysing the dependence between variance and mean estimated values: A theoretical and experimental approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5073 LNCS, Issue PART 2, 2008, Pages 752-767

  Vlad, Adriana ^a,b   Badea, Bogdan ^a  

^a UNIVERSITY POLITEHNICA OF BUCHAREST   (Romania)

^b Research Institute for Artificial Intelligence

Author keywords

Sample mean and sample variance; Scatter diagrams; Spearman's rank correlation test; Statistical independence; Testing skewness

Indexed keywords

CLUSTER ANALYSIS; GAUSSIAN NOISE (ELECTRONIC); IMAGE SEGMENTATION; OPTICAL FILTERS; POPULATION STATISTICS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; RANDOM VARIABLES; STATISTICAL METHODS; TRELLIS CODES;

DATA PAIRS; EXPERIMENTAL APPROACHES; NEW RESULTS; NON-GAUSSIAN; PROBABILITY DENSITIES; SAMPLE MEAN AND SAMPLE VARIANCE; SCATTER DIAGRAMS; SPEARMAN'S RANK CORRELATION TEST; STATISTICAL INDEPENDENCE; STATISTICAL INDEPENDENCES; TEST METHODS; UNCORRELATED; VARIANCE ESTIMATORS;

STATISTICAL TESTS;

EID: 54249163104     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69848-7_60     Document Type: Conference Paper

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