Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models

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Standard

Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models. / Johansen, Søren; Nielsen, Bent.

I: Scandinavian Journal of Statistics, Bind 43, Nr. 2, 06.2016, s. 321-348.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Johansen, S & Nielsen, B 2016, 'Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models', Scandinavian Journal of Statistics, bind 43, nr. 2, s. 321-348. https://doi.org/10.1111/sjos.12174

APA

Johansen, S., & Nielsen, B. (2016). Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models. Scandinavian Journal of Statistics, 43(2), 321-348. https://doi.org/10.1111/sjos.12174

Vancouver

Johansen S, Nielsen B. Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models. Scandinavian Journal of Statistics. 2016 jun.;43(2):321-348. https://doi.org/10.1111/sjos.12174

Author

Johansen, Søren ; Nielsen, Bent. / Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models. I: Scandinavian Journal of Statistics. 2016 ; Bind 43, Nr. 2. s. 321-348.

Bibtex

@article{5b5101c10e18434a923503308bf58176,
title = "Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models",
author = "S{\o}ren Johansen and Bent Nielsen",
year = "2016",
month = jun,
doi = "10.1111/sjos.12174",
language = "English",
volume = "43",
pages = "321--348",
journal = "Scandinavian Journal of Statistics",
issn = "0303-6898",
publisher = "Wiley-Blackwell",
number = "2",

}

RIS

TY - JOUR

T1 - Asymptotic Theory of Outlier Detection Algorithms for Linear Time Series Regression Models

AU - Johansen, Søren

AU - Nielsen, Bent

PY - 2016/6

Y1 - 2016/6

U2 - 10.1111/sjos.12174

DO - 10.1111/sjos.12174

M3 - Journal article

VL - 43

SP - 321

EP - 348

JO - Scandinavian Journal of Statistics

JF - Scandinavian Journal of Statistics

SN - 0303-6898

IS - 2

ER -

ID: 145788180