Probability Distribution of Military Expenditure

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F18%3A00536062" target="_blank" >RIV/60162694:G42__/18:00536062 - isvavai.cz</a>

Výsledek na webu

<a href="https://mme2018.fm.vse.cz/" target="_blank" >https://mme2018.fm.vse.cz/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Probability Distribution of Military Expenditure

Popis výsledku v původním jazyce

The contribution deals with modeling of probability distribution of military expenditure. Analysis of relationship between military expenditure and other macroe- conomic variables is topical in the defense economic literature. For this purpose, var- ious models such as vector autoregressive, error correction or panel data models are applied. The probability distribution of analyzed variables can significantly influence the performance of estimated models. The aim of this paper is to find an appropri- ate probability distribution for data describing military expenditure per capita in the years 1993-2016. The statistical analysis involves data of 115 countries. The authors focus mainly on a normal, lognormal, gamma and Weibull distribution. The quality of a distribution fit is based on comparison of an empirical and a theoretical cumula- tive distribution function and is tested by Anderson-Darling, Cramer-von Mises and Kolmogorov-Smirnov test. In addition to the type of distribution, the development (changes) of the parameters estimates is discussed and the most sensitive test statis- tics is suggested. The authors compared the quantiles of the estimated probability distributions as potential risk indicators.

Název v anglickém jazyce

Probability Distribution of Military Expenditure

Popis výsledku anglicky

The contribution deals with modeling of probability distribution of military expenditure. Analysis of relationship between military expenditure and other macroe- conomic variables is topical in the defense economic literature. For this purpose, var- ious models such as vector autoregressive, error correction or panel data models are applied. The probability distribution of analyzed variables can significantly influence the performance of estimated models. The aim of this paper is to find an appropri- ate probability distribution for data describing military expenditure per capita in the years 1993-2016. The statistical analysis involves data of 115 countries. The authors focus mainly on a normal, lognormal, gamma and Weibull distribution. The quality of a distribution fit is based on comparison of an empirical and a theoretical cumula- tive distribution function and is tested by Anderson-Darling, Cramer-von Mises and Kolmogorov-Smirnov test. In addition to the type of distribution, the development (changes) of the parameters estimates is discussed and the most sensitive test statis- tics is suggested. The authors compared the quantiles of the estimated probability distributions as potential risk indicators.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

MATHEMATICAL METHODS IN ECONOMICS (MME 2018)

ISBN

978-80-7378-372-3

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

585-590

Název nakladatele

MatfyzPress, Publishing House of the Faculty of Mathematics and Physics Charles University

Místo vydání

Praha, Czech Republic

Místo konání akce

Jindřichův Hradec

Datum konání akce

12. 9. 2018

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000507455300101