A hypothesis test using bias adjusted AR estimators for classifying time series in small samples
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ناشر:
سال
: 2013شناسه الکترونیک: 10.1016/j.csda.2012.11.014
کلیدواژه(گان): 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 author | Liu, Shen - Maharaj, Elizabeth Ann | |
date accessioned | 2020-03-11T15:33:41Z | |
date available | 2020-03-11T15:33:41Z | |
date issued | 2013 | |
identifier issn | 0167-9473 | |
identifier other | 10.1016-j.csda.2012.11.014.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/578252 | |
format | general | |
language | English | |
publisher | Elsevier Science | |
title | A hypothesis test using bias adjusted AR estimators for classifying time series in small samples | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 4431404 | |
subject keywords | Time series classification | |
subject keywords | Autoregressive models | |
subject keywords | Bias | |
subject keywords | Small samples | |
subject keywords | Hypothesis testing | |
identifier doi | 10.1016/j.csda.2012.11.014 | |
journal title | Computational Statistics and Data Analysis | |
journal volume | 60 | |
journal issue | 0 | |
filesize | 325879 | |
citations | 0 |