Cohen, Jacqueline; Garman, Samuel; Gorr, Wilpen - In: International Journal of Forecasting 25 (2009) 3, pp. 484-497
Time series monitoring methods, such as the Brown and Trigg methods, have the purpose of detecting pattern breaks (or "signals") in time series data reliably and in a timely fashion. Traditionally, researchers have used the average run length (ARL) statistic on results from generated signal...