Handbook on Loss Reserving

Table of Contents

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   Book Overview
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   Chapter 1 Additive Method
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   Chapter 2 Aggregation
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   Chapter 3 Bornhuetter–Ferguson Method
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   Chapter 4 Bornhuetter–Ferguson Principle
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   Chapter 5 Cape Cod Method
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   Chapter 6 Chain Ladder Method (Basics)
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   Chapter 7 Chain Ladder Method (Models)
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   Chapter 8 Chain Ladder Method (Prediction Error)
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    Chapter 9 Collective Model
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    Chapter 10 Controlling
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    Chapter 11 Credibility Models (Basics)
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    Chapter 12 Credibility Models (Loss Reserving)
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    Chapter 13 Development Patterns (Basics)
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    Chapter 14 Development Patterns (Estimation)
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    Chapter 15 Expected Loss Method
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    Chapter 16 Grossing up Method
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    Chapter 17 Linear Models (Basics)
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    Chapter 18 Linear Models (Loss Reserving)
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    Chapter 19 Lognormal Loglinear Model (Basics)
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    Chapter 20 Lognormal Loglinear Model (Loss Reserving)
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    Chapter 21 Loss Development Method
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    Chapter 22 Loss Ratios
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    Chapter 23 Marginal Sum Method
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    Chapter 24 Multinomial Model
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    Chapter 25 Multiplicative Models
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    Chapter 26 Multivariate Methods
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    Chapter 27 Munich Chain Ladder Method
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    Chapter 28 Paid and Incurred Problem
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    Chapter 29 Panning Method
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    Chapter 30 Poisson Model
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    Chapter 31 Reinsurance
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    Chapter 32 Run-Off Data
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    Chapter 33 Run-Off Triangles
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    Chapter 34 Separation Method
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    Chapter 35 Simulation
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    Chapter 36 Solvency II
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    Chapter 37 Tail Estimation
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    Chapter 38 Volume Measures
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    Chapter 39 Probability Distributions