Parametric and Non-parametric Estimates of Military Expenditure Probability Distribution

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F20%3A00556048" target="_blank" >RIV/60162694:G42__/20:00556048 - isvavai.cz</a>

Výsledek na webu

<a href="https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final.pdf" target="_blank" >https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Parametric and Non-parametric Estimates of Military Expenditure Probability Distribution

Popis výsledku v původním jazyce

The contribution focuses on modeling of probability distribution of military expenditure. Analysis of the link between military expenditure and other macroeconomic variables is a widely discussed issue in the defense economic literature. The probability distribution of analyzed variables can significantly influence the performance of estimated models. The aim of this paper is to find an appropriate probability distribution for data describing military expenditure as a percentage of gross domestic product in the years 1993--2017. The statistical analysis involves data of 162 countries. The authors apply three parametric models of probability distribution (lognormal, gamma and Weibull distribution) and compare these models with non-parametric models based on the kernel estimation. The quality of a distribution fit is based on comparison of an empirical and a theoretical cumulative distribution function and is tested by Kolmogorov-Smirnov, Cramer-von Mises and Anderson-Darling test. Based on the estimated models, quantiles describing the distribution of military expenditures for small and large values were calculated.

Název v anglickém jazyce

Parametric and Non-parametric Estimates of Military Expenditure Probability Distribution

Popis výsledku anglicky

The contribution focuses on modeling of probability distribution of military expenditure. Analysis of the link between military expenditure and other macroeconomic variables is a widely discussed issue in the defense economic literature. The probability distribution of analyzed variables can significantly influence the performance of estimated models. The aim of this paper is to find an appropriate probability distribution for data describing military expenditure as a percentage of gross domestic product in the years 1993--2017. The statistical analysis involves data of 162 countries. The authors apply three parametric models of probability distribution (lognormal, gamma and Weibull distribution) and compare these models with non-parametric models based on the kernel estimation. The quality of a distribution fit is based on comparison of an empirical and a theoretical cumulative distribution function and is tested by Kolmogorov-Smirnov, Cramer-von Mises and Anderson-Darling test. Based on the estimated models, quantiles describing the distribution of military expenditures for small and large values were calculated.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

38th International Conference on Mathematical Methods in Economics (MME 2020)

ISBN

978-80-7509-734-7

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

396-402

Název nakladatele

Mendel University in Brno

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

9. 9. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000668460800061