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Testing for correlation between two time series using a parametric bootstrap

Testing for correlation between two time series using a parametric bootstrap

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2677574988

Testing for correlation between two time series using a parametric bootstrap

About this item

Full title

Testing for correlation between two time series using a parametric bootstrap

Author / Creator

Publisher

England: Taylor & Francis

Journal title

Journal of applied statistics, 2021-08, Vol.48 (11), p.2042-2063

Language

English

Formats

Publication information

Publisher

England: Taylor & Francis

More information

Scope and Contents

Contents

We study the problem of determining if two time series are correlated in the mean and variance. Several test statistics, originally designed for determining the correlation between two mean processes or goodness-of-fit testing, are explored and formally introduced for determining cross-correlation in variance. Simulations demonstrate the theoretica...

Alternative Titles

Full title

Testing for correlation between two time series using a parametric bootstrap

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2677574988

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2677574988

Other Identifiers

ISSN

0266-4763

E-ISSN

1360-0532

DOI

10.1080/02664763.2020.1783519

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