Download or read book Advanced Statistical Modeling and Design of Experiments Using Matlab written by P. Braselton and published by Createspace Independent Publishing Platform. This book was released on 2017-05-29 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: The MATLAB software include eficient tools for develop the design of experiments. 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 and CAGE Browser for analytical calibration. 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. With MATLAB 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 userdefined models.