Spedizione gratuita per ordini superiori a 69,99 euro.

Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Spedizione gratuita con Packeta per un prezzo superiore a 69.99 €

Corriere Bartolini 4.49 € Punto Poste 5.49 € Punto Poste 5.49 € Punto Bartolini 3.49 € Corriere DHL 6.99 € Corriere GLS 5.99 € Punto GLS 4.49 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Spedizione gratuita per ordini superiori a 69,99 euro.

Effective Statistical Learning Methods for Actuaries I

Name: Effective Statistical Learning Methods for Actuaries I
Brand: Springer Nature Switzerland AG
SKU: 24519041
Price: 57.89 EUR
Availability: InStock
Author: Michel Denuit
ISBN: 9783030258191

GLMs and Extensions

Michel Denuit

Donatien Hainaut

Julien Trufin

Lingua

Inglese

Libro In brossura

Codice Libristo: 24519041

Casa editrice Springer Nature Switzerland AG, settembre 2019

This book summarizes the state of the art in generalized linear models (GLMs) and their various exte... Descrizione completa

Codice Libristo: 24519041

142 b

57.89 €

Magazzino esterno Inviamo tra 5-8 giorni

Fino a 30 giorni per il reso

I clienti hanno acquistato anche

Statistical Foundations of Actuarial Learning and its Applications Mario V. Wüthrich

In brossura

31.09 €

Effective Statistical Learning Methods for Actuaries II Julien Trufin

In brossura

33.99 €

Claims Reserving in General Insurance David Hindley

Rigido

113.29 €

The Art & Business of Writing: A Practical Guide to the Writing Life Chris Jones

In brossura

9.79 €

Financial Times Essential Guide to Business Writing, The Ian Atkinson

Adobe ePub DRM

16.59 €

FT Essential Guide to Writing a Business Plan, The Vaughan Evans

In brossura

29.09 €

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). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS). Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities. The exposition alternates between methodological aspects and case studies, providing numerical illustrations using the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. This is the first of three volumes entitled Effective Statistical Learning Methods for Actuaries . Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P&C, life and health insurance. Although closely related to the other two volumes, this volume can be read independently.