Parametric and Non-parametric Estimates of Military Expenditure Probability Distribution

Result code in 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>
Result on the web
<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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Result language
angličtina
Original language name
Parametric and Non-parametric Estimates of Military Expenditure Probability Distribution
Original language description
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.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
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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Number of pages
7
Pages from-to
396-402
Publisher name
Mendel University in Brno
Place of publication
Brno
Event location
Brno
Event date
Sep 9, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000668460800061

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