Consider a random sample X₁, X2,..., Xn from the following pdf (0x0-1 0≤x≤1 f(x) = {0x0. otherwise where 0 > 0. Find the maximum likelihood estimator for 0.

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### Finding the Maximum Likelihood Estimator (MLE)

Consider a random sample \(x_1, x_2, ..., x_n\) from the following probability density function (pdf):

\[ 
f(x) = 
\begin{cases} 
\theta x^{\theta - 1} & \text{if } 0 \leq x \leq 1 \\ 
0 & \text{otherwise} 
\end{cases} 
\]

where \(\theta > 0\). 

Find the maximum likelihood estimator for \(\theta\).

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Transcribed Image Text:--- ### Finding the Maximum Likelihood Estimator (MLE) Consider a random sample \(x_1, x_2, ..., x_n\) from the following probability density function (pdf): \[ f(x) = \begin{cases} \theta x^{\theta - 1} & \text{if } 0 \leq x \leq 1 \\ 0 & \text{otherwise} \end{cases} \] where \(\theta > 0\). Find the maximum likelihood estimator for \(\theta\). ---
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