Order Statistics/Change of Variable

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SUMMARY

The discussion centers on the properties of order statistics derived from a random sample with the probability density function (pdf) f(x) = e^{-x} for x in the range [0, ∞). The participants confirm that the transformed variables Z1, Z2, ..., Zn, defined as Z1=nY1, Z2=(n-1)(Y2-Y1), and so forth, are independent and follow an exponential distribution. Additionally, it is established that any linear combination of the order statistics Y1, Y2, ..., Yn can be represented as a linear function of independent random variables, which is crucial for understanding their joint distribution.

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Homework Statement



Let Y1<Y2<...<Yn be the order statistics of a random sample of size n from the pdf f(x) = e^{-x} x ranging from 0 to infinity.

a) Show that Z1=nY1, Z2 = (n-1)(Y2 - y1) Z3= (n-2)(Y3-Y2)... Zn = Yn - Y_(n-1) are independent and that each Z has the exp distribution.

b) Demonstrate that all linear functions of Y1, Y2,...,Yn such as \Sigma a_i Y_i can be expressed as a linear function of independent random variables.


Homework Equations





The Attempt at a Solution



a)

so y_1 = z_1/n , y_2 = z_2/(n-1) +z_1/n , y_3 = z_3/(n-2) + z_2/(n-1) +z_1/n etc...


So how would I find the jacobian?
 
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I got part a, but not sure how I would do part b.

Thanks in advance.
 

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