*9.52 Let Y₁, ₂,..., Y, be a random sample from a population with density function 3y² f(y|0) = 8³ 0≤y≤0, elsewhere. Show that Y() = max(Y₁, Y₂,..., Y,) is sufficient for 0.

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**Exercise 9.52**

Let \( Y_1, Y_2, \ldots, Y_n \) be a random sample from a population with density function

\[
f(y \mid \theta) = 
\begin{cases} 
\frac{3y^2}{\theta^3}, & \text{for } 0 \leq y \leq \theta, \\
0, & \text{elsewhere}.
\end{cases}
\]

Show that \( Y_{(n)} = \max(Y_1, Y_2, \ldots, Y_n) \) is sufficient for \( \theta \).
Transcribed Image Text:**Exercise 9.52** Let \( Y_1, Y_2, \ldots, Y_n \) be a random sample from a population with density function \[ f(y \mid \theta) = \begin{cases} \frac{3y^2}{\theta^3}, & \text{for } 0 \leq y \leq \theta, \\ 0, & \text{elsewhere}. \end{cases} \] Show that \( Y_{(n)} = \max(Y_1, Y_2, \ldots, Y_n) \) is sufficient for \( \theta \).
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