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Description
  • New trends in testing of motor vehicles require more and more efficient and accurate methods of measuring the output parameters of engines. The incorrect analyzing of the measured data is the most common problems that arises. This leads to distortion of final results of measurements. With the availability of sophisticated statistical software, measured data can be quickly and very accurately evaluate. The study deals with the description of the construction of a regression model to determine the density of the fuel at the various temperatures.
  • New trends in testing of motor vehicles require more and more efficient and accurate methods of measuring the output parameters of engines. The incorrect analyzing of the measured data is the most common problems that arises. This leads to distortion of final results of measurements. With the availability of sophisticated statistical software, measured data can be quickly and very accurately evaluate. The study deals with the description of the construction of a regression model to determine the density of the fuel at the various temperatures. (en)
Title
  • Application of Regression Analysis for Analyzing Measured Data
  • Application of Regression Analysis for Analyzing Measured Data (en)
skos:prefLabel
  • Application of Regression Analysis for Analyzing Measured Data
  • Application of Regression Analysis for Analyzing Measured Data (en)
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  • RIV/62156489:43210/14:00217021!RIV15-MSM-43210___
http://linked.open...avai/riv/aktivita
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  • S
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  • 3810
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  • RIV/62156489:43210/14:00217021
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  • method of least squares; regression model; regression diagnostics (en)
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  • CZ - Česká republika
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  • [E9A5B6245B7F]
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  • Komunální technika
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  • Fajman, Martin
  • Polcar, Adam
  • Jukl, Michal
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  • 1802-2391
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http://localhost/t...ganizacniJednotka
  • 43210
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