Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions — Good
Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions — Good
Description
Effective Statistical Learning Methods for Actuaries I: GLMs and Extensions
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.
Condition: Good
The book is in solid, readable condition with some signs of wear on the cover and pages. There may be light creases or minor markings, but no significant tears or missing pages. The binding is intact, and there may be minimal underlining, highlighting, or margin notes.
Shipping
Orders ship from our Central Texas warehouse. You will receive tracking by email as soon as your order is on its way.
$4.99 by USPS Media Mail in the lower 48 states, arriving in 3–8 business days. Free on orders over $60.
Alaska, Hawaii, US territories and APO/FPO addresses are $12.99. International rates are shown at checkout; duties and import taxes are the buyer's responsibility.
Pre-orders ship once the book is published — see the notice above the Add to cart button for that title's release date.