@article{Fried_Liboschik_Elsaied_Kitromilidou_Fokianos_2014, title={On Outliers and Interventions in Count Time Series following GLMs}, volume={43}, url={https://www.ajs.or.at/index.php/ajs/article/view/vol43-3-2}, DOI={10.17713/ajs.v43i3.30}, abstractNote={<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>We discuss the analysis of count time series following generalised linear models in the presence of outliers and intervention effects. Different modifications of such models are formulated which allow to incorporate, detect and to a certain degree distinguish extraordinary events (interventions) of different types in count time series retrospectively. An outlook on extensions to the problem of robust parameter estimation, identification of the model orders by robust estimation of autocorrelations and partial autocorrelations, and online surveillance by sequential testing for outlyingness is provided. </span></p></div></div></div>}, number={3}, journal={Austrian Journal of Statistics}, author={Fried, Roland and Liboschik, Tobias and Elsaied, Hanan and Kitromilidou, Stella and Fokianos, Konstantinos}, year={2014}, month={Jun.}, pages={181–193} }