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Description
  • The main goal of this article is to determine the regression model for the water flow problem and to find estimators of all included parameters. The problem of the water flow modeling could be described by the nonlinear function. This is the reason, why the theory of nonlinear regression models could be used in order to find the solution. Numerical studies will prove the suitability of designed models.
  • The main goal of this article is to determine the regression model for the water flow problem and to find estimators of all included parameters. The problem of the water flow modeling could be described by the nonlinear function. This is the reason, why the theory of nonlinear regression models could be used in order to find the solution. Numerical studies will prove the suitability of designed models. (en)
Title
  • Statistical processing of laminar water flow data - nonlinear regression based approach
  • Statistical processing of laminar water flow data - nonlinear regression based approach (en)
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  • Statistical processing of laminar water flow data - nonlinear regression based approach
  • Statistical processing of laminar water flow data - nonlinear regression based approach (en)
skos:notation
  • RIV/61989592:15310/13:33145321!RIV14-MSM-15310___
http://linked.open...avai/predkladatel
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  • P(EE2.3.20.0170), S
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  • 107779
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  • RIV/61989592:15310/13:33145321
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  • Linear and nonlinear regression models, two-stage models with constraints of type II, BLUE, linearization, water flow problem, streamline (en)
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  • [63D679DE889B]
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  • Bulharsko
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  • Sofia, Bulgaria
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  • SGEM2013 Conference Proceedings
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  • Tuček, Pavel
  • Marek, Lukáš
  • Tučková, Michaela
  • Burian, Jaroslav
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number of pages
http://bibframe.org/vocab/doi
  • 10.5593/SGEM2013/BB2.V1/S08.032
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  • STEF92 Technology Ltd.
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  • 978-954-91818-9-0
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  • 15310
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