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Please use this identifier to cite or link to this item: http://hdl.handle.net/10805/2268

Title: Statistical methods for the analysis of climatic phenomena
Authors: DI GIUSEPPE, EDMONDO
Tutor: JONA LASINIO, GIOVANNA
ESPOSITO, STANISLAO
PASQUI, MASSIMILIANO
Keywords: Functional clustering
Scan statistic
Bayesian Spatio-temporal models
Issue Date: 13-Dec-2013
Abstract: Statistical Climatology investigates the application of statistics to atmospheric and climate science. This Thesis is intended to contribute some developments in this field. The Thesis is composed of two distinct applied problems: the first presents a functional clustering procedure applied to meteorological time series to obtain homogeneous climate zones; the second builds a hierarchical Bayesian model aiming at the prediction of 15- and 30-minutes cumulated precipitation at unknown locations and time using information on lightnings in the same area.
URI: http://hdl.handle.net/10805/2268
Appears in PhD:STATISTICA METODOLOGICA

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