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Title:Statistical methods for analysing logistics data
Authors:ID Bojić, Sanja (Author)
ID Brglez, Kristijan (Author)
ID Fošner, Maja (Author)
ID Gumzej, Roman (Author)
ID Kovačič Lukman, Rebeka (Author)
ID Marcen, Benjamin (Author)
ID Maslarić, Marinko (Author)
ID Matović, Boško (Author)
ID Mirčetić, Dejan (Author)
ID Kovačič Lukman, Rebeka (Translator)
ID Fošner, Ajda (Reviewer)
ID Alfirević, Nikša (Reviewer)
Files:.pdf bojic_statistical_methods_2025.pdf (7,68 MB)
MD5: 1E5D791E9B0D0172F0569B8B66AB586D
 
URL https://wsl.com.pl/pl/uczelnia/wydawnictwo-wsl?file=files/wydawnictwo/publikacje/BAS4SC/Statistical%20methods%20for%20analysing%20logistics%20data%20BAS4SC_C3_ENG.pdf
 
Language:English
Work type:Higher education textbook
Typology:2.03 - Reviewed University, Higher Education or Higher Vocational Education Textbook
Organization:FL - Faculty of Logistic
Keywords:statistics, logistics, supply chains, demand forecasting, simulation modeling, regression analysis, artificial intelligence, machine learning
Publication status:Published
Publication version:Version of Record
Place of publishing:Poznan
Place of performance:Poznan
Publisher:Wyższa Szkoła Logistyki
Year of publishing:2025
Year of performance:2025
Number of pages:1 spletni vir (1 datoteka PDF (180 str.))
PID:20.500.12556/DKUM-96132 New window
ISBN:978-83-62285-70-9
UDC:311:656
COBISS.SI-ID:259719171 New window
Publication date in DKUM:19.12.2025
Views:158
Downloads:9
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Document is financed by a project

Funder:EC - European Commission
Project number:2022-1-PL01-KA220-HED-000088856
Name:Business Analytics Skills for the Future-proof Supply Chains

Licences

License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
Description:A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.

Secondary language

Language:Slovenian
Title:Statistične metode za analizo logističnih podatkov
Keywords:statistika, logistika, oskrbovalne verige, napovedovanje povpraševanja, simulacijsko modeliranje, regresijska analiza, umetna inteligenca, strojno učenje


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