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Probability Distribution of Military Expenditure

The result's identifiers

  • Result code in 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>

  • Result on the web

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

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Probability Distribution of Military Expenditure

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MATHEMATICAL METHODS IN ECONOMICS (MME 2018)

  • ISBN

    978-80-7378-372-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    585-590

  • Publisher name

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

  • Place of publication

    Praha, Czech Republic

  • Event location

    Jindřichův Hradec

  • Event date

    Sep 12, 2018

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000507455300101