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Statistical methods with applications to demography and life insurance / Estáte V. Khmaladze.

By: Material type: TextTextLanguage: English Description: xiii, 228 páginas : tablas ; 23 cmContent type:
  • Texto
Media type:
  • Sin mediación
Carrier type:
  • Volumen
ISBN:
  • 9781466505735
Subject(s): DDC classification:
  • 302 K41s 21
Other classification:
  • C10
Contents:
1. Duration of live as a random variable -- 2. Models of distribution functions F(x) and force of mortality u(x) -- 3. The empirical distribution function of duration of live -- 4. Deviation of Fn(x) From F(x) as a random process -- 5. Limit of empirical process: Brownian bridge. Distribution of X2 goodness of fit statistic -- 6. Statistical consequences of what we have learned so far. Two-sample problems -- 7. Testing parametric hypotheses. Unexpected example – exponentiality of durations of rule of Roman emperors -- 8. Estimation of the rate of mortality -- 9. Censored observations. Related point processes -- 10. Kaplan-Meier estimator (product-limit estimator) for F 10.1* a note on Wiener stochastic integral -- 11. Statistical inference about F, based on the Kaplan-Meier estimator -- 12. Life insurance and net premiums -- 13. More on net premiums. Endowments and annuities -- 14. Annuities certain. Some problems of general theory -- 15. Right-tail behavior of Fn. Non-parametric confidence bounds for expected remaining life -- 16. Population dynamics.
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Holdings
Item type Home library Call number Copy number Status Notes Date due Barcode Item holds
LIBRO FISICO Biblioteca Principal 302 K41s (Browse shelf(Opens below)) 1 Available Mantener en colección. 95400000000052
Total holds: 0

Incluye referencias bibliográficas (páginas 217-223) e índice.

1. Duration of live as a random variable -- 2. Models of distribution functions F(x) and force of mortality u(x) -- 3. The empirical distribution function of duration of live -- 4. Deviation of Fn(x) From F(x) as a random process -- 5. Limit of empirical process: Brownian bridge. Distribution of X2 goodness of fit statistic -- 6. Statistical consequences of what we have learned so far. Two-sample problems -- 7. Testing parametric hypotheses. Unexpected example – exponentiality of durations of rule of Roman emperors -- 8. Estimation of the rate of mortality -- 9. Censored observations. Related point processes -- 10. Kaplan-Meier estimator (product-limit estimator) for F 10.1* a note on Wiener stochastic integral -- 11. Statistical inference about F, based on the Kaplan-Meier estimator -- 12. Life insurance and net premiums -- 13. More on net premiums. Endowments and annuities -- 14. Annuities certain. Some problems of general theory -- 15. Right-tail behavior of Fn. Non-parametric confidence bounds for expected remaining life -- 16. Population dynamics.

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