Mixed geometric truncated poisson model for sequences of wet days

Sayang Mohd Deni, Abdul Aziz Jemain

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Present study is aimed to propose the mixture of geometric distribution with the truncated Poisson model (MGTPD) as the alternative probability model to describe the distribution of wet (dry) spells in daily rainfall events. In order to compare the performance of this new model with the other five existing probability models in fitting the distribution of wet spells, daily rainfall data from five stations over Peninsular Malaysia for the period of 1975 to 2004 was considered. In determining the most successfully fitted and the best fitting model to represent the observed distribution of wet spells at each station, a Chi-square goodness-of-fit test was used. The results demonstrated that all the data sets were found to successfully fit the new proposed model, the MGTPD. Moreover, this model was also found to produce a better fit than the existing mixed geometric with Poisson model (MGPD) in describing the distribution of wet spells over the five selected stations.

Original languageEnglish
Pages (from-to)3975-3980
Number of pages6
JournalJournal of Applied Sciences
Volume8
Issue number21
DOIs
Publication statusPublished - 2008

Fingerprint

rainfall
distribution
station
test

Keywords

  • Best fitted model
  • Mixed geometric truncated Poisson model
  • Probability model
  • Wet spells

ASJC Scopus subject areas

  • General

Cite this

Mixed geometric truncated poisson model for sequences of wet days. / Deni, Sayang Mohd; Jemain, Abdul Aziz.

In: Journal of Applied Sciences, Vol. 8, No. 21, 2008, p. 3975-3980.

Research output: Contribution to journalArticle

Deni, Sayang Mohd ; Jemain, Abdul Aziz. / Mixed geometric truncated poisson model for sequences of wet days. In: Journal of Applied Sciences. 2008 ; Vol. 8, No. 21. pp. 3975-3980.
@article{0a0c5288cf9940e095ae47eb886af3de,
title = "Mixed geometric truncated poisson model for sequences of wet days",
abstract = "Present study is aimed to propose the mixture of geometric distribution with the truncated Poisson model (MGTPD) as the alternative probability model to describe the distribution of wet (dry) spells in daily rainfall events. In order to compare the performance of this new model with the other five existing probability models in fitting the distribution of wet spells, daily rainfall data from five stations over Peninsular Malaysia for the period of 1975 to 2004 was considered. In determining the most successfully fitted and the best fitting model to represent the observed distribution of wet spells at each station, a Chi-square goodness-of-fit test was used. The results demonstrated that all the data sets were found to successfully fit the new proposed model, the MGTPD. Moreover, this model was also found to produce a better fit than the existing mixed geometric with Poisson model (MGPD) in describing the distribution of wet spells over the five selected stations.",
keywords = "Best fitted model, Mixed geometric truncated Poisson model, Probability model, Wet spells",
author = "Deni, {Sayang Mohd} and Jemain, {Abdul Aziz}",
year = "2008",
doi = "10.3923/jas.2008.3975.3980",
language = "English",
volume = "8",
pages = "3975--3980",
journal = "Journal of Applied Sciences",
issn = "1812-5654",
publisher = "Asian Network for Scientific Information",
number = "21",

}

TY - JOUR

T1 - Mixed geometric truncated poisson model for sequences of wet days

AU - Deni, Sayang Mohd

AU - Jemain, Abdul Aziz

PY - 2008

Y1 - 2008

N2 - Present study is aimed to propose the mixture of geometric distribution with the truncated Poisson model (MGTPD) as the alternative probability model to describe the distribution of wet (dry) spells in daily rainfall events. In order to compare the performance of this new model with the other five existing probability models in fitting the distribution of wet spells, daily rainfall data from five stations over Peninsular Malaysia for the period of 1975 to 2004 was considered. In determining the most successfully fitted and the best fitting model to represent the observed distribution of wet spells at each station, a Chi-square goodness-of-fit test was used. The results demonstrated that all the data sets were found to successfully fit the new proposed model, the MGTPD. Moreover, this model was also found to produce a better fit than the existing mixed geometric with Poisson model (MGPD) in describing the distribution of wet spells over the five selected stations.

AB - Present study is aimed to propose the mixture of geometric distribution with the truncated Poisson model (MGTPD) as the alternative probability model to describe the distribution of wet (dry) spells in daily rainfall events. In order to compare the performance of this new model with the other five existing probability models in fitting the distribution of wet spells, daily rainfall data from five stations over Peninsular Malaysia for the period of 1975 to 2004 was considered. In determining the most successfully fitted and the best fitting model to represent the observed distribution of wet spells at each station, a Chi-square goodness-of-fit test was used. The results demonstrated that all the data sets were found to successfully fit the new proposed model, the MGTPD. Moreover, this model was also found to produce a better fit than the existing mixed geometric with Poisson model (MGPD) in describing the distribution of wet spells over the five selected stations.

KW - Best fitted model

KW - Mixed geometric truncated Poisson model

KW - Probability model

KW - Wet spells

UR - http://www.scopus.com/inward/record.url?scp=67650087612&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=67650087612&partnerID=8YFLogxK

U2 - 10.3923/jas.2008.3975.3980

DO - 10.3923/jas.2008.3975.3980

M3 - Article

AN - SCOPUS:67650087612

VL - 8

SP - 3975

EP - 3980

JO - Journal of Applied Sciences

JF - Journal of Applied Sciences

SN - 1812-5654

IS - 21

ER -