Question

5. For the Weibull distribution with parameters a and X, recall that for t> 0 the density function and distribution function

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Answer #1

T is having Weibull distributon with parameters 1/2 and 9

Then

P(1<T<1.01/T>1)=\frac{P(1<T<1.01)}{P(T>1}

  =\frac{P(T<1.01)-P(T<1)}{P(T>1)}==\frac{P(T<1.01)-P(T<1)}{1-P(T<1)}

=\frac{0.950952-0.950213}{0.049787}

=0.014843

For Weibull disttribution with parameter  \alpha and \lambda ,

the hazard rate

h(t)=\alpha \lambda ^{\alpha}t^{\alpha-1}

Here, \alpha = 1/2,  \lambda = 9

Then

h(T)=\frac{1}{2} 9 ^{\frac{1}{2}}T^{\frac{1}{2}-1}=\frac{3}{2} T^{\frac{1}{2}-1}

But we have,

h(T)=\lim_{x\rightarrow 0}\frac{P(a<T<a+x/T>a)}{x}

Hence,

{P(a<T<a+x/T>a)} can be approximated as h(T) \times x

Hence here,

P(1<T<1.01/T>1) can be approximated as, h(1) \times 0.01

h(1)=\frac{3}{2} \times 1^{\frac{1}{2}-1}=\frac{3}{2}=1.5

Then

h(1) \times 0.01=1.5\times 0.01 = 0.015

That is,      P(1<T<1.01/T>1) is approximated as 0.015.  

This is matching with the probability calculated directly.

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