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Student Notes To Accompany MS4214: STATISTICAL INFERENCE

Student Notes To Accompany MS4214: STATISTICAL INFERENCE

Student Notes To Accompany MS4214: STATISTICAL INFERENCE

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Relative Likelihood<br />

0.4 0.6 0.8 1.0<br />

Radioactive Scatter<br />

−1.0 −0.5 0.0 0.5 1.0<br />

θ<br />

θ ^ = 0.2003788<br />

Figure 2.6.2: Relative likelihood for the radioactive scatter, solved by Newton Raphson.<br />

A Weibull random variable with ‘shape’ parameter a > 0 and ‘scale’ parameter<br />

b > 0 has density<br />

fT (t) = (a/b)(t/b) a−1 exp{−(t/b) a }<br />

for t ≥ 0. The (cumulative) distribution function is<br />

FT (t) = 1 − exp{−(t/b) a }<br />

on t ≥ 0. Suppose that the time to failure T of components has a Weibull distribution<br />

and after testing n components for 100 hours, m components fail at times t1, . . . , tm,<br />

with n − m components surviving the 100 hour test. The likelihood function can be<br />

written<br />

L(θ) =<br />

m�<br />

� �a−1 � � �a� a ti<br />

ti<br />

exp −<br />

b b<br />

b<br />

i=1<br />

� �� �<br />

components failed<br />

33<br />

n�<br />

� � �a� 100<br />

exp − .<br />

b<br />

j=m+1<br />

� �� �<br />

components survived

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