The lifetime of a certain component may be modelled by the exponential distribution with a probability density function f(t) = lambda * e^(-lambda*t).
Show that for this distribution P(T>t) = e^(-lambda*t)?
Any help would be very appreciated!!
this follows on from the previous question;
In a test n items were used, m items failed, having times to failure t1, t2,...tm.
The remaining items were still working when the test was terminated at time t0.
Show the maximum likelihood estimate for lambda is m/ ((sum of t i) +(n-m)*t0)?
I'v been doing this question and iv got up to the point where you need to substitute in the test: the likelihood is n/sum of ti but dont know how to do the rest?