Detail publikačního výsledku

One of the Possible Ways to Find Partial Dependencies in Multidimensional Data

ŽÁK, L.; VALIŠ, D.; ŽÁKOVÁ, L.

Originální název

One of the Possible Ways to Find Partial Dependencies in Multidimensional Data

Anglický název

One of the Possible Ways to Find Partial Dependencies in Multidimensional Data

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

The article deals with one of the possible ways of determining the impact of only one (or selected group) input variable on the output one. This is illustrated by the amount of engine oil soot in the number of hours of operation and the number of days from oil change.

Anglický abstrakt

The article deals with one of the possible ways of determining the impact of only one (or selected group) input variable on the output one. This is illustrated by the amount of engine oil soot in the number of hours of operation and the number of days from oil change.

Klíčová slova

partial regression, regression analysis, tribo-diagnostics, field data

Klíčová slova v angličtině

partial regression, regression analysis, tribo-diagnostics, field data

Autoři

ŽÁK, L.; VALIŠ, D.; ŽÁKOVÁ, L.

Rok RIV

2019

Vydáno

08.01.2019

Nakladatel

Springer

Místo

Switzerland

ISBN

978-3-319-97887-1

Kniha

Recent Advances in Soft Computing

Strany od

254

Strany do

261

Strany počet

8

BibTex

@inproceedings{BUT155952,
  author="Libor {Žák} and David {Vališ} and Lucie {Žáková}",
  title="One of the Possible Ways to Find Partial Dependencies in Multidimensional Data",
  booktitle="Recent Advances in Soft Computing",
  year="2019",
  pages="254--261",
  publisher="Springer",
  address="Switzerland",
  isbn="978-3-319-97887-1"
}