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Gamma/Gompertz distribution

From Wikipedia, the free encyclopedia

Gamma/Gompertz distribution
Probability density function
Gamma Gompertz cumulative distribution

Note: b=0.4, β=3
Cumulative distribution function
Gamma Gompertz cumulative distribution
Parameters
Support
PDF
CDF
Mean
           

           
Median
Mode
Variance
           








MGF



In probability and statistics, the Gamma/Gompertz distribution is a continuous probability distribution. It has been used as an aggregate-level model of customer lifetime and a model of mortality risks.

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Transcription

Contents

Specification

Probability density function

The probability density function of the Gamma/Gompertz distribution is:

where is the scale parameter and are the shape parameters of the Gamma/Gompertz distribution.

Cumulative distribution function

The cumulative distribution function of the Gamma/Gompertz distribution is:

Moment generating function

The moment generating function is given by:

where is a Hypergeometric function.

Properties

The Gamma/Gompertz distribution is a flexible distribution that can be skewed to the right or to the left.

Related distributions

  • When β = 1, this reduces to an Exponential distribution with parameter sb.
  • The gamma distribution is a natural conjugate prior to a Gompertz likelihood with known, scale parameter [1]
  • When the shape parameter of a Gompertz distribution varies according to a gamma distribution with shape parameter and scale parameter (mean = ), the distribution of is Gamma/Gompertz.[1]

See also

Notes

  1. ^ a b Bemmaor, A.C.; Glady, N. (2012)

References

  • Bemmaor, Albert C.; Glady, Nicolas (2012). "Modeling Purchasing Behavior With Sudden 'Death': A Flexible Customer Lifetime Model". Management Science. 58 (5): 1012–1021. doi:10.1287/mnsc.1110.1461. Archived from the original on 2015-06-26.
  • Bemmaor, Albert C.; Glady, Nicolas (2011). "Implementing the Gamma/Gompertz/NBD Model in MATLAB" (PDF). Cergy-Pontoise: ESSEC Business School.[permanent dead link]
  • Gompertz, B. (1825). "On the Nature of the Function Expressive of the Law of Human Mortality, and on a New Mode of Determining the Value of Life Contingencies". Philosophical Transactions of the Royal Society of London. 115: 513–583. doi:10.1098/rstl.1825.0026. JSTOR 107756.
  • Johnson, Norman L.; Kotz, Samuel; Balakrishnan, N. (1995). "Continuous Univariate Distributions". 2 (2nd ed.). New York: John Wiley & Sons: 25–26. ISBN 0-471-58494-0. Cite journal requires |journal= (help)
  • Manton, K. G.; Stallard, E.; Vaupel, J. W. (1986). "Alternative Models for the Heterogeneity of Mortality Risks Among the Aged". Journal of the American Statistical Association. 81: 635–644. doi:10.1080/01621459.1986.10478316.
This page was last edited on 24 December 2019, at 02:11
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