Name: Multiple Decrement Models in Insurance: An Introduction Using R
Price: 115.89 NZD
Availability: InStock
Author: Shailaja Deshmukh
ISBN: 9788132206583

portada Multiple Decrement Models in Insurance: An Introduction Using R

Multiple Decrement Models in Insurance: An Introduction Using R

Type

Physical Book

Author

Shailaja Deshmukh

Publisher

springer

Year

2012

Language

English

Pages

220

Format

Paperback

Dimensions

16 x 23 cm

ISBN

8132206584

ISBN13

9788132206583

Synopsis "Multiple Decrement Models in Insurance: An Introduction Using R"

The book will serve as a guide to many actuarial concepts and statistical techniques in multiple decrement models and their application in calculation of premiums and reserves in life insurance products with riders and in pension and employee benefit plans as in these schemes, the benefit paid on termination of employment depends upon the several causes of termination. Multiple state models are discussed to accommodate the insurance products in which the payment of benefits or premiums is dependent on being in a given state or moving between a given pair of states at a given time, for example, disability income insurance model. The book also discusses stochastic models for interest rates and calculation of premiums for some products in this set up. The highlight of the book is usage of R software, freely available from public domain, for computations of various monetary functions involved in insurance business. R commands are given for all the computations.

Shailaja Deshmukh

(Author)

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Shailaja Rajendra Deshmukh es profesora de estadística en la Universidad de Pune, India. Su especialidad incluye procesos estocásticos, probabilidad aplicada y análisis de datos de microarrays. Ha publicado varios libros que combinan teoría estadística con aplicaciones prácticas: Multiple Decrement Models in Insurance: An Introduction Using R (2012), Actuarial Statistics: An Introduction Using R, Statistics Using R, y Microarray Data: Statistical Analysis Using R. Su obra suele incorporar ejemplos reales, modelos estadísticos y uso del software R para hacer accesible la cuantificación de riesgos, primas o reservas en seguros, entre otras aplicaciones.

Su influencia se observa en el uso educativo de sus libros, en cursos de estadística y actuaría, y en sus publicaciones en revistas revisadas por pares, lo que la sitúa como una figura valorada en su campo.

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