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A weighted least squares procedure to approximate least absolute deviation estimation in time series...

A weighted least squares procedure to approximate least absolute deviation estimation in time series...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2084751053

A weighted least squares procedure to approximate least absolute deviation estimation in time series with specific reference to infinite variance unit root problems

About this item

Full title

A weighted least squares procedure to approximate least absolute deviation estimation in time series with specific reference to infinite variance unit root problems

Author / Creator

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2012-10

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

A weighted regression procedure is proposed for regression type problems where the innovations are heavy-tailed. This method approximates the least absolute regression method in large samples, and the main advantage will be if the sample is large and for problems with many independent variables. In such problems bootstrap methods must often be util...

Alternative Titles

Full title

A weighted least squares procedure to approximate least absolute deviation estimation in time series with specific reference to infinite variance unit root problems

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2084751053

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2084751053

Other Identifiers

E-ISSN

2331-8422

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