Development of information system suited for statistical analysis of global brands distributions

TL;DR

This paper develops an information system for statistical analysis of global brand distributions, demonstrating algorithms for estimating distribution laws and validating datasets against Pareto and Zipf's laws.

Contribution

It introduces a new computer-based information system with algorithms for analyzing and estimating the distribution laws of global brands.

Findings

Datasets conform to Pareto Law and Zipf's Law

Algorithms effectively estimate distribution parameters

System facilitates statistical analysis of brand distributions

Abstract

This qualification work studies methods of statistical analysis of global brands distributions and development process of information system which is represented by computer program. Algorithm of estimation of correspondance to distribution laws was shown. Correspondance of datasets (3) to Pareto Law and Zipf's Law were defined. Key words: analysis, method, distribution, data, function, statistics, solution, program.