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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 diagnostics Tools in Regression
  • Tests of Various diagnostics Tools in Regression (en)
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  • Tests of Various diagnostics Tools in Regression
  • Tests of Various diagnostics Tools in Regression (en)
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  • RIV/00216275:25530/11:39892391!RIV12-MSM-25530___
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  • S, Z(MSM0021627505)
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  • 235009
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  • RIV/00216275:25530/11:39892391
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  • set of residuals; tests; regression dependence; approximation (en)
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  • [17D4D06D1BEB]
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  • Rostov-na-Donu
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  • Donetsk
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  • Sbornik trudov II. Mezhdunarodnovo nautchnovo seminara Systemnyi analyz, upravlenie i obrabotka informacii
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  • Javůrek, Milan
  • Taufer, Ivan
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  • Donetsk national technical university
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  • 978-5-7890-0666-5
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  • 25530
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