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Residuals and Influence in Nonlinear Regression for Repeated Measurement Data

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目录

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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

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