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