Residuals and Influence in Nonlinear Regression for Repeated Measurement Data

目录

声明

Abstract

Table of Contents

1 Introduction

2 The Model and the parameter Estimation

2．1 Hierarchical Nonlinear Models

2．2 First order linearization

2．3 Maximum likelihood

3 Statistical Diagnostics for Nonlinear Models with Repeated Measurement Data

3．1 Ordinary residuals

3．1．1 Types of residuals

3．2 Cook’s distance

3．3 Likelihood distance

3．3．1 A general approach to influence

3．3．2 Nonlinear least square

4 Simulation

5 Conclusion

Acknowledgement

References