Abstract
For detection of a permanent and precisely-modeled change in distribution of iid observations, Page's test is optimal. When employed to detect a transient change between known distributions, Page's test is a generalised likelihood ratio test (GLRT). However, the situation of interest here is of transient of unknown scale parameter: a fixed Page procedure tuned to a short-and-loud signal uses heavy biasing and low threshold, a combination ill-suited to a long-but-quiet signal. We offer an easy alternative to the standard Page: it uses a constant bias and a time-varying threshold. The idea is that the above short signals are detected quickly before post-termination data has a chance to refute them; and that evidence for a long signal is allowed to build, rather than being summarily discarded too early. Results show that the approach works quite well.
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