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Errors-in-Variables Methods in System Identification

Overview of attention for book
Cover of 'Errors-in-Variables Methods in System Identification'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 The Static Case
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    Chapter 3 The Errors-in-Variables Problem for Dynamic Systems
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    Chapter 4 Identifiability Aspects
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    Chapter 5 Modeling Aspects
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    Chapter 6 Elementary Methods
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    Chapter 7 Methods Based on Bias-Compensation
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    Chapter 8 Covariance Matching
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    Chapter 9 Prediction Error and Maximum Likelihood Methods
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    Chapter 10 Frequency Domain Methods
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    Chapter 11 Total Least Squares
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    Chapter 12 Methods for Periodic Data
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    Chapter 13 Algorithmic Properties
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    Chapter 14 Asymptotic Distributions
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    Chapter 15 Errors-in-Variables Problems in Practice
Attention for Chapter 9: Prediction Error and Maximum Likelihood Methods
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