Contents

Index

• Getting Started

• User's Guide

• Data Organization

• Descriptive Statistics

• Statistical Visualization

• Probability Distributions

• Hypothesis Tests

• Analysis of Variance

• Regression Analysis

• Regression Plots

• Linear Regression

• Nonlinear Regression

• Regression Trees

• Ensemble Methods

• Multivariate Methods

• Cluster Analysis

• Model Assessment

• Classification

• Hidden Markov Models

• Design of Experiments

• Statistical Process Control

• GUIs

• Release Notes

Learn more about Statistics Toolbox

hougen - Hougen-Watson model

Syntax

yhat = hougen(beta,x)

Description

yhat = hougen(beta,x) returns the predicted values of the reaction rate, yhat, as a function of the vector of parameters, beta, and the matrix of data, X. beta must have 5 elements and X must have three columns.

hougen is a utility function for rsmdemo.

The model form is:

References

[1] Bates, D. M., and D. G. Watts. Nonlinear Regression Analysis and Its Applications. Hoboken, NJ: John Wiley & Sons, Inc., 1988.

See Also

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