Predicting Polish transport industry equilibrium characteristics as an inverse problem: An Entropy Econometrics Model

Bwanakare Second () and Cierpiał-Wolan Marek ()
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Bwanakare Second: University of Information Technology and Management (WSIZ), Rzeszow, Poland .
Cierpiał-Wolan Marek: Statistical Office in Rzeszów, University of Rzeszów, Rzeszów, Poland .

Statistics in Transition New Series, 2020, vol. 21, issue 5, 179-191

Abstract: The business environment dynamics is governed by a high degree of uncertainty and risk; consequently, in a majority of cases investors face serious difficulties when making business decisions. Additionally, when detailed statistical information relating to industry is missing, any decisions may become a matter of highly risky conjectures.

Keywords: transport industry; inverse problem; econometrics; non-extensive entropy econometrics. (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:21:y:2020:i:5:p:179-191:n:7

DOI: 10.21307/stattrans-2020-061

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