Introduction to the Nonlinear Platform - JMP 10 Modeling and Multivariate Methods [Book]

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Contents

Introduction to the Nonlinear Platform

Example of Nonlinear Fitting

Launch the Nonlinear Platform

Nonlinear Fitting with Fit Curve

Fit Curve Models and Options

Fit Curve Report

Fit a Custom Model

Create a Model Column

Nonlinear Fit Report

Nonlinear Fit Options

Use the Model Library

Additional Examples

Maximum Likelihood: Logistic Regression

Probit Model with Binomial Errors: Numerical Derivatives

Poisson Loss Function

Statistical Details

Profile Likelihood Confidence Limits

How Custom Loss Functions Work

Notes Concerning Derivatives

Notes on Effective Nonlinear Modeling

Introduction to the Nonlinear Platform

The Nonlinear platform fits models that are nonlinear in the parameters. The Fit Curve personality of the platform ...

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