Read Anywhere and on Any Device!

Subscribe to Read | $0.00

Join today and start reading your favorite books for Free!

Read Anywhere and on Any Device!

  • Download on iOS
  • Download on Android
  • Download on iOS

Advanced Statistical Models with Matlab. Design of Experiments, Neural Networks, and Global Linear Models

Advanced Statistical Models with Matlab. Design of Experiments, Neural Networks, and Global Linear Models

Parker K
0/5 ( ratings)
This book develops tools for design of experiment, statistical modeling, neural networks, Global Linear Models and non linear models. The Model Browser is a flexible, powerful, intuitive graphical interface for building and evaluating 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, flexible tools for building, comparing, and evaluating statistical models and experimental designs. - There is an extensive library of prebuilt model types and the capability to build user-defined models. - You can export models to CAGE or to MATLAB, or Simulink software.
Pages
460
Format
Paperback
Release
October 21, 2016
ISBN 13
9781539660064

Advanced Statistical Models with Matlab. Design of Experiments, Neural Networks, and Global Linear Models

Parker K
0/5 ( ratings)
This book develops tools for design of experiment, statistical modeling, neural networks, Global Linear Models and non linear models. The Model Browser is a flexible, powerful, intuitive graphical interface for building and evaluating 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, flexible tools for building, comparing, and evaluating statistical models and experimental designs. - There is an extensive library of prebuilt model types and the capability to build user-defined models. - You can export models to CAGE or to MATLAB, or Simulink software.
Pages
460
Format
Paperback
Release
October 21, 2016
ISBN 13
9781539660064

More books from Parker K

Rate this book!

Write a review?

loader