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  5. Effective Statistical Learning Methods for Actuaries I

Effective Statistical Learning Methods for Actuaries I

- GLMs and Extensions

af Michel Denuit

indgår i Springer Actuarial Lecture Notes serien

indgår i Springer Actuarial serien

Effective Statistical Learning Methods for Actuaries I af Michel Denuit
Bag om Effective Statistical Learning Methods for Actuaries I

This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS).

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783030258191
  • Indbinding:
  • Paperback
  • Sideantal:
  • 441
  • Udgivet:
  • 18. september 2019
  • Udgave:
  • 12019
  • Størrelse:
  • 238x159x27 mm.
  • Vægt:
  • 708 g.
Leveringstid: 8-11 hverdage
Forventet levering: 16. januar 2025

Bag om Michel Denuit

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Beskrivelse af Effective Statistical Learning Methods for Actuaries I

This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS).

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