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Linear and Nonlinear Models

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Cover of 'Linear and Nonlinear Models'

Table of Contents

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    Book Overview
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    Chapter 1 The First Problem of Algebraic Regression
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    Chapter 2 The First Problem of Probabilistic Regression: The Bias Problem
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    Chapter 3 The Second Problem of Algebraic Regression
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    Chapter 4 The Second Problem of Probabilistic Regression
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    Chapter 5 The Third Problem of Algebraic Regression
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    Chapter 6 The Third Problem of Probabilistic Regression
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    Chapter 7 Overdetermined System of Nonlinear Equations on Curved Manifolds
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    Chapter 8 The Fourth Problem of Probabilistic Regression
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    Chapter 9 The Fifth Problem of Algebraic Regression: The System of Conditional Equations: Homogeneous and Inhomogeneous Equations: $$\{\mathbf{By} = \mathbf{Bi}\ \mathbf{versus} -\mathbf{c} + \mathbf{By} = \mathbf{Bi}\}$$
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    Chapter 10 The Fifth Problem of Probabilistic Regression
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    Chapter 11 The Sixth Problem of Probabilistic Regression the random effect model – “errors-in-variable”
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    Chapter 12 The Nonlinear Problem of the 3d Datum Transformation and the Procrustes Algorithm
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    Chapter 13 The Sixth Problem of Generalized Algebraic Regression
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    Chapter 14 Special Problems of Algebraic Regression and Stochastic Estimation
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    Chapter 15 Algebraic Solutions of Systems of Equations
Attention for Chapter 2: The First Problem of Probabilistic Regression: The Bias Problem
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Chapter title
The First Problem of Probabilistic Regression: The Bias Problem
Chapter number 2
Book title
Linear and Nonlinear Models
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-22241-2_2
Book ISBNs
978-3-64-222240-5, 978-3-64-222241-2
Authors

Erik W. Grafarend, Joseph L. Awange

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