Methods for starting the detection of undocumented multiple changepoints

dc.contributor.author	Gerard-Marchant, PGF	en
dc.contributor.author	Stooksbury, DE	en
dc.contributor.author	Seymour, L	en
dc.date.accessioned	2014-06-06T06:48:10Z
dc.date.available	2014-06-06T06:48:10Z
dc.date.issued	2008	en
dc.identifier.issn	08948755	en
dc.identifier.uri	http://dx.doi.org/10.1175/2008JCLI1956.1	en
dc.identifier.uri	http://62.217.125.90/xmlui/handle/123456789/3991
dc.subject.other	Drought	en
dc.subject.other	Stream flow	en
dc.subject.other	Artificial datums	en
dc.subject.other	Change points	en
dc.subject.other	Georgia	en
dc.subject.other	Regression methods	en
dc.subject.other	Robust methods	en
dc.subject.other	Two phase flow	en
dc.subject.other	algorithm	en
dc.subject.other	detection method	en
dc.subject.other	regression analysis	en
dc.subject.other	streamflow	en
dc.subject.other	Flint River	en
dc.subject.other	Georgia	en
dc.subject.other	North America	en
dc.subject.other	United States	en
dc.title	Methods for starting the detection of undocumented multiple changepoints	en
heal.type	journalArticle	en
heal.identifier.primary	10.1175/2008JCLI1956.1	en
heal.publicationDate	2008	en
heal.abstract	Four algorithms are given, as a first step toward the practical detection of undocumented multiple changepoints. These algorithms are based on the two-phase regression method of Lund and Reeves, as well as the robust method of Lazante. The result of each method is a set that contains statistically detectable changepoints; each candidate is then either independently validated as a changepoint or discarded. This is demonstrated and the methods are compared on artificial data, and then the methods are implemented on streamflow data from the Flint River in southwest Georgia. Most notably, the method based on two-phase regression was able to detect a well-known yet undocumented drop in streamflow from a local drought that no other methods have so far been able to detect. © 2008 American Meteorological Society.	en
heal.journalName	Journal of Climate	en
dc.identifier.issue	18	en
dc.identifier.volume	21	en
dc.identifier.doi	10.1175/2008JCLI1956.1	en
dc.identifier.spage	4887	en
dc.identifier.epage	4899	en