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http://dx.doi.org/10.5351/KJAS.2016.29.5.887

A statistical inference for Neyman-Scott Rectangular Pulse model  

Kim, Nam Hee (Department of Statistics, Kyungpook National University)
Kim, Yongku (Department of Statistics, Kyungpook National University)
Publication Information
The Korean Journal of Applied Statistics / v.29, no.5, 2016 , pp. 887-896 More about this Journal
Abstract
The Neyman-Scott Rectangular Pulse (NSRP) model is used to model the hourly rainfall series. This model uses a modest number of parameters to represent the rainfall processes and underlying physical phenomena such as the arrival of a storm or rain cells. In this paper, we proposed approximated likelihood function for the NSRP model and applied the proposed method to precipitation data in Seoul.
Keywords
approximated likelihood; maximum likelihood estimation; Neyman-Scott Rectangular Pulse model; precipitation model;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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