Statistical Evaluation of Simulation Study Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F26%3A00563742" target="_blank" >RIV/60162694:G42__/26:00563742 - isvavai.cz</a>
Result on the web
<a href="https://www.springer.com/series/558" target="_blank" >https://www.springer.com/series/558</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-71397-2_23" target="_blank" >10.1007/978-3-031-71397-2_23</a>

Result language
angličtina
Original language name
Statistical Evaluation of Simulation Study Data
Original language description
Modeling and simulation methods can result in different types of data sets. These data files may differ in terms of data type, number of variables, file size, etc. These data contain information that can be analyzed using appropriate statistical methods. This paper discusses selected statistical data analysis methods that will be applied to data obtained through simulations. The paper analyzes the data obtained from the simulation of vehicle passage through the terrain. Non-parametric methods are used.
Czech name
—
Czech description
—

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-031-71396-5
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
7
Pages from-to
364-370
Publisher name
Springer
Place of publication
Cham
Event location
Palermo
Event date
Oct 17, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001419689800023

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