Analytical solution to mixed distribution fit to failure time data - Lambert W perhaps?

Brenda Jordan

Brenda Jordan

Answered question

2022-11-07

Analytical solution to mixed distribution fit to failure time data - Lambert W perhaps?
I have a set of n device failure times { t i > 0 } for i = 1... n and N n devices which have not yet failed. Using maximum likelihood I am attempting to find a closed-form analytical solution to fit the data to the following cumulative distribution function:
F ( t | λ , p ) = p ( 1 e λ t )
where 0 < p < 1 is the asymptotic fraction of units to eventually fail and λ > 0 the sub-population failure rate. The likelihood for this MLE attempt is given by:
L = ( 1 F ( t n ) ) N n i = 1 n f ( t i )
and
ln L = ( N n ) ln ( 1 p + p e λ t n ) + n λ p λ i = 1 n t i
with pdf of f ( t ) = d F / d t = λ p e λ t . Here we take λ p L = 0 or λ p ln L = 0 to solve for p and λ at max likelihood (or log likelihood). I've just recently learned a smidgen about the Lambert W function and was hoping that someone with a more nimble mind than mine might be able to derive a closed form solution using this and/or other cleverness.

Answer & Explanation

Kayleigh Cross

Kayleigh Cross

Beginner2022-11-08Added 19 answers

Step 1
Lambert W function can not help:
{ d L d p = ( N n ) ( 1 e λ t n ) 1 p + p e λ t n + n λ = 0 , d L d λ = ( N n ) p t n e λ t n 1 p + p e λ t n + n p t = 1 n t i = 0
{ p = 1 1 e λ t n n λ N n ( N n ) p t n ( 1 1 p + n λ N n ) 1 p p + n λ N n = n p t = 1 n t i ,
{ p = 1 1 e λ t n n λ N n ( N n ) p t n ( p 1 + n λ N n ) n λ N n = n p t = 1 n t i ,
(1) { n λ N n = ( N n ) t n p ( 1 p ) ( ( N n ) t n n ) p + t = 1 n t i p = 1 1 e λ t n n λ N n
Step 2
I am not able to find a closed analytical solution of the system (1). At this time, it can be solved using iteration method or by eliminating of one unknown.

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