de Moivre's law

de Moivre's law

De Moivre's Law is a survival model applied in actuarial science, named for Abraham de Moivre.[1][2][3] It is a simple law of mortality based on a linear survival function.

Definition

De Moivre's law has a single parameter ω called the ultimate age. Under de Moivre's law, a newborn has probability of surviving at least x years given by the survival function[4]


 S(x) = 1 - \frac{x}{\omega}, \qquad 0 \leq x < \omega.

Under this model, the conditional probability that a life aged x years survives at least t years is[clarification needed]


 {}_t p_x = \frac{S(x+t)}{S(x)} = \frac{\omega-(x+t)}{\omega-x},
 \qquad 0 \leq t < \omega-x,

and the future lifetime random variable T(x) therefore follows a uniform distribution on (0, \, \omega-x). The force of mortality (hazard rate or failure rate) for a life aged x is


\mu(x+t) = \frac{1}{\omega - (x+t)}, \qquad 0 \leq t < \omega-x,

which has the property of increasing failure rate (IFR) with respect to age that is usually assumed for humans, or anything subject to aging.

De Moivre's law is applied as a simple analytical law of mortality and the linear assumption is also applied as a model for interpolation for discrete survival models such as life tables.

Linear assumption for fractional years

When applied for interpolation, the linear assumption is called uniform distribution of death (UDD) assumption in fractional years and it is equivalent to linear interpolation. If \ell_x denotes the number of survivors at exact age x years out of an initial cohort of \ell_0 lives, the UDD assumption for fractional years is that

 \ell_{x+t} = (1-t) \ell_x + t \ell_{x+1}, \qquad 0<t<1,

or equivalently, that

 S(x+t) = (1-t) S(x) + t S(x+1), \qquad 0<t<1.

Under the UDD assumption, the probability tqx that a life aged x fails within (0,t), is tqx, and  \mu(x+t) = \frac{q_x}{1-tq_x}, for  \, 0<t<1.

Notes

  1. ^ Abraham de Moivre (1725) Annuities upon Lives. The second edition of Annuities upon Lives was published in 1743.
  2. ^ Abraham de Moivre (1752) A Treatise of Annuities on Lives.
  3. ^ Geoffrey Poitras (2006). "Life annuity valuation: from de Witt and Halley to de Moivre and Simpson". In Geoffrey Poitras. Pioneers of Financial Economics: Volume I, Contributions Prior to Irving Fisher. ISBN 978-1-84542-381-0. 
  4. ^ Bowers, N.L., Gerber, H.U., Hickman, J.C., Jones, D.A. and Nesbitt, C.J. (1997). Actuarial Mathematics (Second Edition), Schaumburg, Illinois, Society of Actuaries.

Wikimedia Foundation. 2010.

Игры ⚽ Поможем решить контрольную работу

Look at other dictionaries:

  • Moivre, Abraham de — ▪ French mathematician born May 26, 1667, Vitry, Fr. died Nov. 27, 1754, London       French mathematician who was a pioneer in the development of analytic trigonometry and in the theory of probability.       A French Huguenot, de Moivre was… …   Universalium

  • Abraham de Moivre — Moivre redirects here; for the French commune see Moivre, Marne. Abraham de Moivre Abraham de Moivre Born …   Wikipedia

  • de Moivre's formula — In mathematics, de Moivre s formula (a.k.a. De Moivre s theorem), named after Abraham de Moivre, states that for any complex number (and, in particular, for any real number) x and integer n it holds that The formula is important because it… …   Wikipedia

  • De Moivre's formula — De Moivre s formula, named after Abraham de Moivre, states that for any complex number (and, in particular, for any real number) x and any integer n it holds that:left(cos x+isin x ight)^n=cosleft(nx ight)+isinleft(nx ight).,The formula is… …   Wikipedia

  • de Moivre–Laplace theorem — As n grows large, the shape of the binomial distribution begins to resemble the smooth Gaussian curve. In probability theory, the de Moivre–Laplace theorem is a normal approximation to the binomial distribution. It is a special case of the… …   Wikipedia

  • Normal distribution — This article is about the univariate normal distribution. For normally distributed vectors, see Multivariate normal distribution. Probability density function The red line is the standard normal distribution Cumulative distribution function …   Wikipedia

  • Ars Conjectandi — (Latin: The Art of Conjecturing) is a mathematical paper written by Jakob Bernoulli and published eight years after his death by his nephew, Niklaus Bernoulli, in 1713. The work both consolidated existing probability theory and added to the… …   Wikipedia

  • Central limit theorem — This figure demonstrates the central limit theorem. The sample means are generated using a random number generator, which draws numbers between 1 and 100 from a uniform probability distribution. It illustrates that increasing sample sizes result… …   Wikipedia

  • Distribución normal — Saltar a navegación, búsqueda Distribución normal Función de densidad de probabilidad La línea verde corresponde a la distribución normal estandar Función de distribución de probabilidad …   Wikipedia Español

  • Complex number — A complex number can be visually represented as a pair of numbers forming a vector on a diagram called an Argand diagram, representing the complex plane. Re is the real axis, Im is the imaginary axis, and i is the square root of –1. A complex… …   Wikipedia

Share the article and excerpts

Direct link
Do a right-click on the link above
and select “Copy Link”