Advanced Statistical Models with MATLAB. Design of Experiments, Neural Networks, and Global Linear Models
Author | : Parker K. |
Publisher | : Createspace Independent Publishing Platform |
Total Pages | : 460 |
Release | : 2016-10-21 |
ISBN-10 | : 1539660060 |
ISBN-13 | : 9781539660064 |
Rating | : 4/5 (60 Downloads) |
Book excerpt: 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.