The Poisson Regression Analysis for Occurrence of Floods

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F15%3A00082267" target="_blank" >RIV/00216224:14560/15:00082267 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/S2212-5671(15)00465-7" target="_blank" >http://dx.doi.org/10.1016/S2212-5671(15)00465-7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/S2212-5671(15)00465-7" target="_blank" >10.1016/S2212-5671(15)00465-7</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The Poisson Regression Analysis for Occurrence of Floods

Popis výsledku v původním jazyce

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 testedand 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 (skewedand 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.

Název v anglickém jazyce

The Poisson Regression Analysis for Occurrence of Floods

Popis výsledku anglicky

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 testedand 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 (skewedand 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.

Druh

D - Stať ve sborníku

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Procedia Economics and Finance, 2nd Global Conference on Business, Economics, Management and Tourism

ISBN

—

ISSN

2212-5671

e-ISSN

—

Počet stran výsledku

4

Strana od-do

1499-1502

Název nakladatele

Elsevier

Místo vydání

Amsterdam

Místo konání akce

Praue

Datum konání akce

1. 1. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000360103600227