Predicting precipitation level

Fokianos, K. and Kedem, B. and Short, D.A. (1996) Predicting precipitation level. Journal of Geophysical Research: Atmospheres, 101 (D21). pp. 26473-26477. ISSN 0747-7309

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Abstract

We present a generalized logistic regression model for the statistical analysis of multicategorical time series. The model is suitably parameterized and partial likelihood inference is proposed for estimation of the unknown parameters. A goodness of fit statistic is derived to judge the quality of fit. The analysis is applied to data from the Tropical Ocean and Global Atmosphere/Coupled Ocean‐Atmosphere Response Experiment.

Item Type: Journal Article
Journal or Publication Title: Journal of Geophysical Research: Atmospheres
Departments: Faculty of Science and Technology > Mathematics and Statistics
ID Code: 127897
Deposited By: ep_importer_pure
Deposited On: 02 Oct 2018 13:04
Refereed?: Yes
Published?: Published
Last Modified: 30 Sep 2019 21:14
URI: https://eprints.lancs.ac.uk/id/eprint/127897

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