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|a 9781466505742
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|a UAMI
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|a Khmaladze, Estate,
|e author.
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|a Statistical Methods with Applications to Demography and Life Insurance /
|c Khmaladze, Estate.
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|a 1st edition.
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|a [Place of publication not identified] :
|b Chapman and Hall/CRC,
|c 2013.
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|a 1 online resource (242 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
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|a 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 Ito 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.
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|f Copyright © Chapman and Hall/CRC 2013
|g 2013
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|a Made available through: Safari, an O'Reilly Media Company.
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|a Online resource; Title from title page (viewed March 25, 2013).
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|a Lecture 7: Testing parametric hypotheses. Unexpected example -- exponentiality of durations of rule of Roman emperorsLecture 8: Estimation of the rate of mortality; Lecture 9: Censored observations. Related point processes; Lecture 10: Kaplan-Meier estimator (product-limit estimator) for F; Lecture 11: Statistical inference about F, based on the Kaplan-Meier estimator; Lecture 12: Life insurance and net premiums; Lecture 13: More on net premiums. Endowments and annuities; Lecture 14: Annuities certain. Some problems of general theory
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|a Lecture 15: Right-tail behavior of Fn. Non-parametric confidence bounds for expected remaining lifeLecture 16: Population dynamics; Bibliography
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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|a Actuarial science.
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|a Demography
|x Mathematical models.
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|a Actuariat.
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|a Démographie
|x Modèles mathématiques.
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|a Demography
|x Mathematical models.
|2 fast
|0 (OCoLC)fst00890172
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|a Actuarial science.
|2 fast
|0 (OCoLC)fst01750236
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|a O'Reilly for Higher Education (Firm),
|e distributor.
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|a Safari, an O'Reilly Media Company.
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|i Print version:
|a Khmaladze, Estate V.
|t Statistical methods with applications to analysis of life-times.
|d Boca Raton, FL : CRC Press, 2013
|z 9781466505735
|w (DLC) 2013004473
|w (OCoLC)756596251
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0 |
8 |
|i Print version:
|z 9781299702752
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|u https://learning.oreilly.com/library/view/~/9781466505742/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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|a 92
|b IZTAP
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