Name: Statistical Methods with Applications to Demography and Life Insurance (en Inglés)
Price: 134080.00 CLP
Availability: InStock
Author: Khmaladze, Estáte V.
ISBN: 9781466505735

portada Statistical Methods with Applications to Demography and Life Insurance (en Inglés)

Formato

Libro Físico

Autor

Estáte V. Khmaladze

Editorial

CRC Press

Año

2013

Idioma

Inglés

N° páginas

244

Encuadernación

Tapa Dura

Dimensiones

23.4 x 16.3 x 1.8 cm

Peso

0.50 kg.

ISBN

1466505737

ISBN13

9781466505735

Categorías

Inferencia bayesiana

Statistical Methods with Applications to Demography and Life Insurance (en Inglés)

Estáte V. Khmaladze (Autor) · CRC Press · Tapa Dura

Libro Físico

$ 134.080

$ 223.470

Ahorras: $ 89.390

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Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Statistical Methods with Applications to Demography and Life Insurance (en Inglés)"

Suitable for statisticians, mathematicians, actuaries, and students interested in the problems of insurance and analysis of lifetimes, Statistical Methods with Applications to Demography and Life Insurance presents contemporary statistical techniques for analyzing life distributions and life insurance problems. It not only contains traditional material but also incorporates new problems and techniques not discussed in existing actuarial literature.The book mainly focuses on the analysis of an individual life and describes statistical methods based on empirical and related processes. Coverage ranges from analyzing the tails of distributions of lifetimes to modeling population dynamics with migrations. To help readers understand the technical points, the text covers topics such as the Stieltjes, Wiener, and Itô integrals. It also introduces other themes of interest in demography, including mixtures of distributions, analysis of longevity and extreme value theory, and the age structure of a population. In addition, the author discusses net premiums for various insurance policies.Mathematical statements are carefully and clearly formulated and proved while avoiding excessive technicalities as much as possible. The book illustrates how these statements help solve numerous statistical problems. It also includes more than 70 exercises.