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  • Approximation of experimental data by means of an analytical or general mathematical dependence is performed most frequently by the regression method using the least squares approach. The quality of curve fitting is evaluated on the basis of analysis of resulting set of residuals which, however, can be defined in various ways. This paper deals with suitability tests of the individual types from the standpoint of curve fitting quality of the regression dependence.
  • Approximation of experimental data by means of an analytical or general mathematical dependence is performed most frequently by the regression method using the least squares approach. The quality of curve fitting is evaluated on the basis of analysis of resulting set of residuals which, however, can be defined in various ways. This paper deals with suitability tests of the individual types from the standpoint of curve fitting quality of the regression dependence. (en)
Title
  • Tests of Various Types of Residuals in Regression Diagnostics (en)
  • Tests of Various Types of Residuals in Regression Diagnostics
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  • Tests of Various Types of Residuals in Regression Diagnostics (en)
  • Tests of Various Types of Residuals in Regression Diagnostics
skos:notation
  • RIV/00216275:25530/12:39892390!RIV13-MSM-25530___
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  • Z(MSM0021627505)
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  • 174114
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  • RIV/00216275:25530/12:39892390
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  • set of residuals; tests; regression dependence; approximation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0992092383D6]
http://linked.open...v/mistoKonaniAkce
  • Tatranská Lomnica
http://linked.open...i/riv/mistoVydani
  • Bratislava
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  • Proceedings of the 18th International Conference on Process Control
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  • Javůrek, Milan
  • Taufer, Ivan
http://linked.open...vavai/riv/typAkce
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http://linked.open...n/vavai/riv/zamer
number of pages
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  • Slovenská technická univerzita v Bratislave
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  • 978-80-227-3517-9
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  • 25530
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