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6. Let Y be a continuous random variable with probability density function Oyo-1, for 0< y< k; f(y) 0, otherwise, where 0 > 1

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Answer #1

Grimen, 114)= otherurise eshere ANSWER a. R.P. F. Since ifly) is the 0-1 dy Oy 8-1 dy =D> =-> Therfore, b: AN SW ER ELY) = -0

ElY) = dy dly 042 %3D %3D O+2 Vari amce (Y) = E(Y?) - E(V} O+12 (0+1)2 (e+1) (1041)- (0+1)?(0+2) B(BrL) (0+1) (0+2) 10+1) (0+

AN SW ER e: Fisst order Sample momnt, m, = 1 E(Y) Let By method estinalor, 1 moment => => o (1- mi) = mi estimate 0) ANSWER

eraluate, To find an estimate we equation kkelihood → The 2s the/ masimumg dikolihord (antimate A0. =-> likelihood estimate t

Also, n 0.3 + In 0.4 + In O.5 1.2942(appron ) - 3. 8632 Since, O moment estimate d 0) not acceptable,

ANSWER a:

k=1

ANSWER b:

E(Y)=\theta/(\theta+1)

Variance of Y=\theta/((\theta+1)2(\theta+2))

ANSWER c:

\theta bar= m1'/(1-m1')

ANSWER d:

\thetacap= -n/\tiny \sumln yi

ANSWER e:

\thetabar=0.9230(approx.)

\thetacap=1.2942(approx.)

\thetabar is not an acceptable estimate as \theta >1.

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