Let Y be the random variable described in Example 5.2.4, where f Y ( y ; θ ) = e − ( y − θ ) , y ≥ θ , θ > 0 . Show that Y min − 1 n is an unbiased estimator of θ .
Let Y be the random variable described in Example 5.2.4, where f Y ( y ; θ ) = e − ( y − θ ) , y ≥ θ , θ > 0 . Show that Y min − 1 n is an unbiased estimator of θ .
Solution Summary: The author explains that Y_mathrmmin-1n is an unbiased estimator of theta .
Let
Y
be the random variable described in Example 5.2.4, where
f
Y
(
y
;
θ
)
=
e
−
(
y
−
θ
)
,
y
≥
θ
,
θ
>
0
. Show that
Y
min
−
1
n
is an unbiased estimator of
θ
.
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Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License