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Effective Statistical Learning Methods for Actuaries I

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Cover of 'Effective Statistical Learning Methods for Actuaries I'

Table of Contents

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    Book Overview
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    Chapter 1 Insurance Risk Classification
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    Chapter 2 Exponential Dispersion (ED) Distributions
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    Chapter 3 Maximum Likelihood Estimation
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    Chapter 4 Generalized Linear Models (GLMs)
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    Chapter 5 Over-Dispersion, Credibility Adjustments, Mixed Models, and Regularization
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    Chapter 6 Generalized Additive Models (GAMs)
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    Chapter 7 Beyond Mean Modeling: Double GLMs and GAMs for Location, Scale and Shape (GAMLSS)
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    Chapter 8 Some Generalized Non-linear Models (GNMs)
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    Chapter 9 Extreme Value Models
Attention for Chapter 1: Insurance Risk Classification
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