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6.81 Let Yı, Y. ..., Y, be independent, exponentially distributed random variables with mean B. a Show that Y) = min(Y , Y2,

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Answer #1

Given : Y1, Y2, ..........Yn be independent and exponentially distributed with mean \beta

Probability density function of Yi is

0<fo<*g/k_3 = (h)! ------------------(I)

and its distribution function is

Fy) = 1-e-4/8

Y(1) = min(y1, .......... Yn) = First order statistic = smallest order statistic

By using results of order statistic

The probability distribution of first order statistic is

fyu (y) = n* [1 – F(y)]n-1 * f(y)

Hence distribution of Y(1) is

fyu) (y) = n* [1 – (1 – (*)n-1 (*e=1/

, (+-) - = ()***

fway (9) = * ----------------------(II)

From (I) and (II)

The distribution of Y(1) is exponential with mean \beta /n

Hence Y(1) ~ Erp(Mean = B/n)

b) Given: n= 5 and beta = 2

Hence Υ1) Ετp Mean = 0.4)

The p.d.f of Y(1) is

0 < (1)*mp_3* + 0 = () (RI

P(Y(1) < 3.6) = *e-4/0.4 * du o 0.4

12-=(985 01d

P(Y(1) < 3.6) = 1-

P(Y1) <3.6) = 0.9998.

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