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A hypothesis test using bias adjusted AR estimators for classifying time series in small samples

Author:
Liu, Shen - Maharaj, Elizabeth Ann
Publisher:
Elsevier Science
Year
: 2013
DOI: 10.1016/j.csda.2012.11.014
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/578252
Keyword(s): Time series classification,Autoregressive models,Bias,Small samples,Hypothesis testing
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    A hypothesis test using bias adjusted AR estimators for classifying time series in small samples

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contributor authorLiu, Shen - Maharaj, Elizabeth Ann
date accessioned2020-03-11T15:33:41Z
date available2020-03-11T15:33:41Z
date issued2013
identifier issn0167-9473
identifier other10.1016-j.csda.2012.11.014.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/578252
formatgeneral
languageEnglish
publisherElsevier Science
titleA hypothesis test using bias adjusted AR estimators for classifying time series in small samples
typeJournal Paper
contenttypeMetadata Only
identifier padid4431404
subject keywordsTime series classification
subject keywordsAutoregressive models
subject keywordsBias
subject keywordsSmall samples
subject keywordsHypothesis testing
identifier doi10.1016/j.csda.2012.11.014
journal titleComputational Statistics and Data Analysis
journal volume60
journal issue0
filesize325879
citations0
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