Show simple item record

dc.creatorDalezios, N. R.en
dc.creatorAdamowski, K.en
dc.date.accessioned2015-11-23T10:25:03Z
dc.date.available2015-11-23T10:25:03Z
dc.date.issued1995
dc.identifier.urihttp://hdl.handle.net/11615/26851
dc.description.abstractThe paper develops a three-stage iterative procedure for building a Space-Time Autoregressive Moving Average (STARMA) model of multiple precipitation series. The identified model is STMA (13). The emphasis is placed on the three stages of the model building procedure, namely identification, parameter estimation and diagnostic checking. In the parameter estimation stage the polytope (or simplex) method and three further classical nonlinear optimization algorithms are used, namely two conjugate gradient methods and a quasi-Newton method. The polytope method has been adopted and the developed model performed well in describing the spatio-temporal characteristics of the multiple precipitation series. Application has been attempted in a rural watershed in southern Canada. -from Authorsen
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-0029413811&partnerID=40&md5=e018fba0cf60c4ac4c00491ee5462413
dc.subjectARMA processen
dc.subjectpolytope methoden
dc.subjectprecipitation modellingen
dc.subjectspatial/temporal modelen
dc.subjectSTARMA processen
dc.subjectCanada, (South)en
dc.subjectModellingen
dc.subjectPrecipitationen
dc.subjectRuralen
dc.subjectSpatio-Temporalen
dc.subjectWatersheden
dc.titleSpatio-temporal precipitation modelling in rural watershedsen
dc.typejournalArticleen


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record