Statistical Methods with Applications to Demography and Life Insurance

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A01=Estate V. Khmaladze
actuarial mathematics
advanced life insurance statistics
Author_Estate V. Khmaladze
Binomial Random Variable
Brownian Bridge
Brownian Motion
Category=KCH
Characteristic Function
Chi Square Distribution Function
Common Distribution Function
distribution
Distribution Function
duration
empirical
Empirical Distribution Function
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Exponential Distribution Function
force
function
Glivenko Cantelli Theorem
Initial Price Level
Kaplan Meier Es Timator
KolmogorovSmirnov Statistic
Life Insurance Contract
Lifetime T1
longevity estimation
Mathematical Demography
mortality
mortality modeling
net
Net Premium
Person A
Point Process
population migration studies
premium
Quadratic Variation
random
Random Variable T1
Random Variables
Standard Brownian Motion
stochastic processes
survival analysis
T1
Uncorrelated Increments
variable

Product details

  • ISBN 9780367380236
  • Weight: 362g
  • Dimensions: 156 x 234mm
  • Publication Date: 19 Sep 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

Khmaladze, Estáte V.

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