The Poisson Regression Analysis for Occurrence of Floods

D 2015

The Poisson Regression Analysis for Occurrence of Floods

CUPAL, Martin; Oleg DEEV a Dagmar LINNERTOVÁ

Základní údaje

Originální název

The Poisson Regression Analysis for Occurrence of Floods

Autoři

CUPAL, Martin; Oleg DEEV a Dagmar LINNERTOVÁ

Vydání

1. vyd. Amsterdam, Procedia Economics and Finance, 2nd Global Conference on Business, Economics, Management and Tourism, od s. 1499-1502, 4 s. 2015

Nakladatel

Elsevier

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

50600 5.6 Political science

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14560/15:00082267

Organizační jednotka

Ekonomicko-správní fakulta

ISSN

DOI

https://doi.org/10.1016/S2212-5671(15)00465-7

UT WoS

000360103600227

Klíčová slova anglicky

Poisson regression; occurrence of floods; generalized linear model

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 29. 9. 2015 15:38, Mgr. Daniela Marcollová

Anotace

V originále

Currently, flood risk can be considered as the most serious threat, mainly in areas and countries where hardly any other natural risks occur. In order to analyze this kind of natural disaster, it is necessary to examine the long-term development of its occurrence around the world as well as its financial and other consequences. The main objective of the research was to apply Poisson regression on flood occurrence as the dependent variable. The set of explanatory variables under consideration was tested and subsequently the final model was determined. Poisson regression model, which is a generalized linear model, was chosen as a computing model. Using it guarantees consistent results when working with variables with non-normal data distribution (skewed and discrete). Thus OLS estimator cannot work and is replaced by MLE estimator. Consequently, confidence intervals of estimated parameters and all model results can be received. The research resulted in selecting the Poisson regression model with an estimated and significant parameter. Moreover, sample sets of selected countries were compared and evaluated in terms of overall intensity of flood occurrence.

Návaznosti

MUNI/A/0786/2013, interní kód MU

Název: Analýza a predikce vývoje cen finančních a investičních nástrojů

Investor: Masarykova univerzita, Analýza a predikce vývoje cen finančních a investičních nástrojů, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

CUPAL, Martin; Oleg DEEV a Dagmar LINNERTOVÁ. The Poisson Regression Analysis for Occurrence of Floods. Online. In Iacob, AI. Procedia Economics and Finance, 2nd Global Conference on Business, Economics, Management and Tourism. 1. vyd. Amsterdam: Elsevier, 2015, s. 1499-1502. ISSN 2212-5671. Dostupné z: https://doi.org/10.1016/S2212-5671(15)00465-7.

@inproceedings{1217043,
   author = {Cupal, Martin and Deev, Oleg and Linnertová, Dagmar},
   address = {Amsterdam},
   booktitle = {Procedia Economics and Finance, 2nd Global Conference on Business, Economics, Management and Tourism},
   doi = {https://doi.org/10.1016/S2212-5671(15)00465-7},
   edition = {1. vyd.},
   editor = {Iacob, AI},
   keywords = {Poisson regression; occurrence of floods; generalized linear model},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Amsterdam},
   pages = {1499-1502},
   publisher = {Elsevier},
   title = {The Poisson Regression Analysis for Occurrence of Floods},
   year = {2015}
}

TY  - CONF
ID  - 1217043
AU  - Cupal, Martin - Deev, Oleg - Linnertová, Dagmar
PY  - 2015
TI  - The Poisson Regression Analysis for Occurrence of Floods
PB  - Elsevier
CY  - Amsterdam
KW  - Poisson regression
KW  - occurrence of floods
KW  - generalized linear model
N2  - Currently, flood risk can be considered as the most serious threat, mainly in areas and countries where hardly any other natural risks occur. In order to analyze this kind of natural disaster, it is necessary to examine the long-term development of its occurrence around the world as well as its financial and other consequences. The main objective of the research was to apply Poisson regression on flood occurrence as the dependent variable. The set of explanatory variables under consideration was tested and subsequently the final model was determined. Poisson regression model, which is a generalized linear model, was chosen as a computing model. Using it guarantees consistent results when working with variables with non-normal data distribution (skewed and discrete). Thus OLS estimator cannot work and is replaced by MLE estimator. Consequently, confidence intervals of estimated parameters and all model results can be received. The research resulted in selecting the Poisson regression model with an estimated and significant parameter. Moreover, sample sets of selected countries were compared and evaluated in terms of overall intensity of flood occurrence.
ER  -

CUPAL, Martin; Oleg DEEV a Dagmar LINNERTOVÁ. The Poisson Regression Analysis for Occurrence of Floods. Online. In Iacob, AI. \textit{Procedia Economics and Finance, 2nd Global Conference on Business, Economics, Management and Tourism}. 1. vyd. Amsterdam: Elsevier, 2015, s.~1499-1502. ISSN~2212-5671. Dostupné z: https://doi.org/10.1016/S2212-5671(15)00465-7.

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