Rejoinder: Asymptotic theory of outlier detection algorithms for linear time series regression models
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Rejoinder : Asymptotic theory of outlier detection algorithms for linear time series regression models. / Johansen, Søren; Nielsen, Bent.
In: Scandinavian Journal of Statistics, Vol. 43, No. 2, 15.06.2016, p. 374-381.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
Johansen, S & Nielsen, B 2016, 'Rejoinder: Asymptotic theory of outlier detection algorithms for linear time series regression models', Scandinavian Journal of Statistics, vol. 43, no. 2, pp. 374-381. https://doi.org/10.1111/sjos.12211
APA
Johansen, S., & Nielsen, B. (2016). Rejoinder: Asymptotic theory of outlier detection algorithms for linear time series regression models. Scandinavian Journal of Statistics, 43(2), 374-381. https://doi.org/10.1111/sjos.12211
Vancouver
Johansen S, Nielsen B. Rejoinder: Asymptotic theory of outlier detection algorithms for linear time series regression models. Scandinavian Journal of Statistics. 2016 Jun 15;43(2):374-381. https://doi.org/10.1111/sjos.12211
Author
Bibtex
@article{eac996bd388f4a268387f417503f8025,
title = "Rejoinder: Asymptotic theory of outlier detection algorithms for linear time series regression models",
author = "S{\o}ren Johansen and Bent Nielsen",
year = "2016",
month = jun,
day = "15",
doi = "10.1111/sjos.12211",
language = "English",
volume = "43",
pages = "374--381",
journal = "Scandinavian Journal of Statistics",
issn = "0303-6898",
publisher = "Wiley-Blackwell",
number = "2",
}
RIS
TY - JOUR
T1 - Rejoinder
T2 - Asymptotic theory of outlier detection algorithms for linear time series regression models
AU - Johansen, Søren
AU - Nielsen, Bent
PY - 2016/6/15
Y1 - 2016/6/15
U2 - 10.1111/sjos.12211
DO - 10.1111/sjos.12211
M3 - Journal article
VL - 43
SP - 374
EP - 381
JO - Scandinavian Journal of Statistics
JF - Scandinavian Journal of Statistics
SN - 0303-6898
IS - 2
ER -
ID: 161342162