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Identification of Statistical Distribution Type by Sample Data
Author(s) -
Ventsislav Nikolov,
Aleksandar Krastev,
Snezhina Yanakieva
Publication year - 2021
Publication title -
annual journal of technical university of varna
Language(s) - English
Resource type - Journals
ISSN - 2603-316X
DOI - 10.29114/ajtuv.vol5.iss1.226
Subject(s) - realization (probability) , computer science , software , identification (biology) , sample (material) , distribution (mathematics) , data mining , type (biology) , statistics , mathematics , programming language , mathematical analysis , ecology , botany , chemistry , chromatography , biology
The present paper provides a full description of a software implementation of a system for statistical distributions. Such a system is almost indispensable in many simulation applications where the factors incorporated adhere to a specific non-normal distribution. The realization is developed as a software library that can be integrated in different other applications. There is also the possibility for additional theoretical distribution types to be added.

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