Overview

In MATLAB you can use the Statistics and Machine Learning Toolbox functions to perform one-way analysis of variance (ANOVA model), N-way ANOVA, analysis of covariance (ANCOVA model), analysis of variance with multiple response variables (MANOVA model) and analysis of covariance with multiple response variables (MANCOVA model). All these types of models are included in the general linear model (GLM).On the other hand, a common goal of all experimental designs is to collect data as parsimoniously as possible while providing sufficient information to accurately estimate GLM model parameters. Traditional experimental designs ( Full Factorial Designs, Fractional Factorial Designs, and Response Surface Designs ) are appropriate for calibrating linear models in experimental settings where factors are relatively unconstrained in the region of interest. In some cases, however, models are necessarily nonlinear. In other cases, certain treatments (combinations of factor levels) may be expensive or infeasible to measure. D-optimal designs are model-specific designs that address these limitations of traditional designs.

Full Product Details

9781797901688

Table of Contents

Reviews

Author Information

Tab Content 6

Customer Reviews

Recent Reviews

Countries Available