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Volumn 22, Issue 4, 1994, Pages 432-444
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Evaluating rescaled range analysis for time series
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Author keywords
Filtering; Fractal analysis; Fractal dimension; Hurst coefficient; Memory in noisy signals; Signal analysis; Smoothing; Spatial correlation; Temporal correlation
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Indexed keywords
CONVERGENCE OF NUMERICAL METHODS;
FLOW OF WATER;
FRACTALS;
MATHEMATICAL MODELS;
SIGNAL FILTERING AND PREDICTION;
SPURIOUS SIGNAL NOISE;
TIME SERIES ANALYSIS;
FRACTAL ANALYSIS;
HURST COEFFICIENT;
RESCALED RANGE ANALYSIS;
SIGNAL ANALYSIS;
SPATIAL CORRELATION;
TEMPORAL CORRELATION;
SIGNAL PROCESSING;
ANALYTIC METHOD;
ARTICLE;
FILTRATION;
MATHEMATICAL ANALYSIS;
MEMORY;
NOISE;
SIGNAL PROCESSING;
ALGORITHM;
ARTIFACT;
COMPARATIVE STUDY;
EPIDEMIOLOGY;
FORECASTING;
FRACTAL ANALYSIS;
REGRESSION ANALYSIS;
REPRODUCIBILITY;
TIME;
ALGORITHMS;
ARTIFACTS;
BIAS (EPIDEMIOLOGY);
COMPARATIVE STUDY;
EVALUATION STUDIES;
FORECASTING;
FRACTALS;
REGRESSION ANALYSIS;
REPRODUCIBILITY OF RESULTS;
SIGNAL PROCESSING, COMPUTER-ASSISTED;
SUPPORT, U.S. GOV'T, P.H.S.;
TIME FACTORS;
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EID: 0028168686
PISSN: 00906964
EISSN: 15739686
Source Type: Journal
DOI: 10.1007/BF02368250 Document Type: Article |
Times cited : (163)
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References (24)
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