Detail publikačního výsledku

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

ŽÁK, L.; VALIŠ, D.; ŽÁKOVÁ, L.

Original Title

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

English Title

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

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

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

Key words in English

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

Authors

ŽÁK, L.; VALIŠ, D.; ŽÁKOVÁ, L.

RIV year

2019

Released

08.01.2019

Publisher

Springer

Location

Switzerland

ISBN

978-3-319-97887-1

Book

Recent Advances in Soft Computing

Pages from

254

Pages to

261

Pages count

8

Full text in the Digital Library

http://hdl.handle.net/

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"
}