Model Based Calibration With Matlab Design Of Experiments And Statistical Modeling
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Model Based Calibration with Matlab. Design of Experiments and Statistical Modeling
Author | : J Lopez |
Publisher | : |
Total Pages | : 386 |
Release | : 2019-10-12 |
Genre | : |
ISBN | : 9781699275993 |
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The Model-Based Calibration Toolbox product contains tools for design of experiment, statistical modeling, and calibration of complex systems..The toolbox has two main apps: -Model Browser for design of experiment and statistical modeling-CAGE Browser for analytical calibrationThe Model Browser is a flexible powerful, intuitive graphical interface for building andevaluating experimental designs and statistical models: -Design of experiment tools can drastically reduce expensive data collection time.-You can create and evaluate optimal, space filling and classical designs, and constraints can be designed or imported.-Hierarchical statistical models can capture the nature of variability inherent in engine data, accounting for variation both within and between tests.-The Model Browser has powerful, flexibl tools for building, comparing, andevaluating statistical models and experimental designs.-There is an extensive library of prebuilt model types and the capability to build user-define models.-You can export models to CAGE or to MATLAB, or Simulink software. -There is an extensive library of prebuilt model types and the capability to build user-define models.-You can export models to CAGE or to MATLAB(R), or Simulink software.
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