Correlation dimension: A pivotal statistic for non-constrained realizations of composite hypotheses in surrogate data analysis
type: Item
instance of: scholarly article
title: Correlation dimension: A pivotal statistic for non-constrained realizations of composite hypotheses in surrogate data analysis
zbMATH Open document ID: 0956.62004
DOI: 10.1016/S0167-2789(98)00088-8
author: Michael Small
author: Kevin Judd
published in: Physica D
publication date: 2000-02-06T00:00:00Z
Mathematics Subject Classification ID: 62-07
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 1399219
zbMATH Keywords: nonlinear surrogates
zbMATH Keywords: correlation dimension
zbMATH Keywords: infant respiratory patterns
zbMATH Keywords: electrocardiogram
zbMATH Keywords: surrogate data analysis
MaRDI profile type: Publication
cites work: Testing for nonlinearity in time series: the method of surrogate data
cites work: Constrained-realization Monte-Carlo method for hypothesis testing
cites work: DETECTING NONLINEARITIES IN STATIONARY TIME SERIES
cites work: An improved estimator of dimension and some comments on providing confidence intervals
cites work: Estimating dimension from small samples
cites work: Measuring the strangeness of strange attractors
cites work: Q3658782
cites work: Q4727203
cites work: Comparisons of new nonlinear modeling techniques with applications to infant respiration.
cites work: On selecting models for nonlinear time series
cites work: Q4692920
full work available at URL: s0167-2789(98)00088-8
OpenAlex ID: W2156759788
description: scientific article; zbMATH DE number 1399219