Lindley distribution

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In probability theory and statistics, the Lindley distribution is a continuous probability distribution for nonnegative-valued random variables. The distribution is named after Dennis Lindley.[1]

The Lindley distribution is used to describe the lifetime of processes and devices.[2] In engineering, it has been used to model system reliability.

The distribution can be viewed as a mixture of the Erlang distribution (with k=2) and an exponential distribution.

Definition

The probability density function of the Lindley distribution is:

f(x;θ)=θ2θ+1(1+x)e−θxθ,x≥0,

where θ is the scale parameter of the distribution. The cumulative distribution function is:

F(x;θ)=1−θ+1+θxθ+1e−θx

for x∈[0,∞).

References

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  1. ↑ "Fiducial distributions and Bayes’ theorem", Journal of the Royal Statistical Society B 1958 vol.20 p.102-107
  2. ↑ "Lindley distribution and its application", Mathematics and computers in simulation 2008 vol.78(4) p.493-506