Question:
Let the probability density function of the continuous random variable π be
, 0, π₯ β₯ 0 otherwise ,
where π > 0 is a parameter. If the observed sample values of π are
π₯1 = 1.75, π₯2 = 2.25, π₯3 = 2.50, π₯4 = 2.75, π₯5 = 3.25, then the Maximum Likelihood Estimator of π is
Let the probability density function of the continuous random variable π be
, 0, π₯ β₯ 0 otherwise ,
where π > 0 is a parameter. If the observed sample values of π are
π₯1 = 1.75, π₯2 = 2.25, π₯3 = 2.50, π₯4 = 2.75, π₯5 = 3.25, then the Maximum Likelihood Estimator of π is
, 0, π₯ β₯ 0 otherwise , where π > 0 is a parameter. If the observed sample values of π are
π₯1 = 1.75, π₯2 = 2.25, π₯3 = 2.50, π₯4 = 2.75, π₯5 = 3.25, then the Maximum Likelihood Estimator of π is
Updated On: Oct 1, 2024
- \(\frac{5}{2}\)
- \(\frac{1}{5}\)
- \(\frac{1}{5}\)
- \(\frac{2}{5}\)
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The Correct Option is D
Solution and Explanation
The correct option is (D): \(\frac{2}{5}\)
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