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  • For Design Engineering and its Management it is often necessary to decide which variant of a designed technical product should be utilized. To achieve it, is advantageous to determine which parameters - %22key drivers%22 of a product have the highest impact on its key properties to evaluate and select the suboptimal alternative. Functions of mathematical statistics can be used to predict in this way unknown numerical values of product properties like costs or prices, etc. Correlation and linear regression have been used in the presented case study.
  • For Design Engineering and its Management it is often necessary to decide which variant of a designed technical product should be utilized. To achieve it, is advantageous to determine which parameters - %22key drivers%22 of a product have the highest impact on its key properties to evaluate and select the suboptimal alternative. Functions of mathematical statistics can be used to predict in this way unknown numerical values of product properties like costs or prices, etc. Correlation and linear regression have been used in the presented case study. (en)
Title
  • Prediction of Product Costs based on Mathematical Statistics
  • Prediction of Product Costs based on Mathematical Statistics (en)
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  • Prediction of Product Costs based on Mathematical Statistics
  • Prediction of Product Costs based on Mathematical Statistics (en)
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  • RIV/49777513:23210/11:43897143!RIV12-MSM-23210___
http://linked.open...avai/riv/aktivita
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  • S
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  • 222737
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  • RIV/49777513:23210/11:43897143
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  • costs, correlation, linear regression, driver, product, case study (en)
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http://linked.open...ontrolniKodProRIV
  • [156AC756A553]
http://linked.open...v/mistoKonaniAkce
  • Milan, Italy
http://linked.open...i/riv/mistoVydani
  • Milan
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  • Proceedings of the 17th International Business Information Management Association
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  • Dvořák, Josef
  • Hosnedl, Stanislav
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • 17th International Business Information Management Association
https://schema.org/isbn
  • 978-0-9821489-6-9
http://localhost/t...ganizacniJednotka
  • 23210
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