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Arima model for forecasting Poisson ...

Fu, Wandong.

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Arima model for forecasting Poisson data: Application to long-term earthquake predictions.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Arima model for forecasting Poisson data: Application to long-term earthquake predictions./
Author:	Fu, Wandong.
Description:	53 p.
Notes:	Source: Masters Abstracts International, Volume: 49-02, page: 1209.
Contained By:	Masters Abstracts International49-02.
Subject:	Applied Mathematics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1482291
ISBN:	9781124249032

Arima model for forecasting Poisson data: Application to long-term earthquake predictions.
Fu, Wandong.

Arima model for forecasting Poisson data: Application to long-term earthquake predictions. - 53 p.

Source: Masters Abstracts International, Volume: 49-02, page: 1209.

Thesis (M.S.)--University of Nevada, Las Vegas, 2010.

Earthquakes that occurred worldwide during the period of 1896 to 2009 with magnitude greater than or equal to 8.0 on the Richter scale are assumed to follow a Poisson process. Autoregressive Integrated Moving Average models are presented to fit the empirical recurrence rates, and to predict future large earthquakes. We show valuable modeling and computational techniques for the point processes and time series data. Specifically, for the proposed methodology, we address the following areas: data management and graphic presentation, model fitting and selection, model validation, model and data sensitivity analysis, and forecasting.

ISBN: 9781124249032Subjects--Topical Terms:

1669109
Applied Mathematics.

Arima model for forecasting Poisson data: Application to long-term earthquake predictions.
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005 20110726095655.5
008 130515s2010 ||||||||||||||||| ||eng d
020 $a 9781124249032
035 $a (UMI)AAI1482291
035 $a AAI1482291
040 $a UMI $c UMI
100 1 $a Fu, Wandong. $3 1676576
245 1 0 $a Arima model for forecasting Poisson data: Application to long-term earthquake predictions.
300 $a 53 p.
500 $a Source: Masters Abstracts International, Volume: 49-02, page: 1209.
500 $a Adviser: Chih-Hsiang Ho.
502 $a Thesis (M.S.)--University of Nevada, Las Vegas, 2010.
520 $a Earthquakes that occurred worldwide during the period of 1896 to 2009 with magnitude greater than or equal to 8.0 on the Richter scale are assumed to follow a Poisson process. Autoregressive Integrated Moving Average models are presented to fit the empirical recurrence rates, and to predict future large earthquakes. We show valuable modeling and computational techniques for the point processes and time series data. Specifically, for the proposed methodology, we address the following areas: data management and graphic presentation, model fitting and selection, model validation, model and data sensitivity analysis, and forecasting.
590 $a School code: 0506.
650 4 $a Applied Mathematics. $3 1669109
650 4 $a Statistics. $3 517247
690 $a 0364
690 $a 0463
710 2 $a University of Nevada, Las Vegas. $b Mathematical Sciences. $3 1676577
773 0 $t Masters Abstracts International $g 49-02.
790 1 0 $a Ho, Chih-Hsiang, $e advisor
790 1 0 $a Amei, Amei $e committee member
790 1 0 $a Ghosh, Kaushik $e committee member
790 1 0 $a Chen, LeinLein $e committee member
790 $a 0506
791 $a M.S.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1482291