Let have pdf for (). For the sample , the Maximum Likelihood Estimator of is
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Let have pdf for (). For the sample , the Maximum Likelihood Estimator of is
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Let X have pdf f_X(x,λ)=λ e^(-λ x) for x≥0 (λ>0). For the sample 1.75, 2.25, 2.50, 2.75, 3.25, the Maximum Likelihood Estimator of λ is (A) 5/2 (B) 1/5 (C) 5/12 (D) 2/5
Also written as: Let X have pdf f_X(x,lambda)=lambda e^(-lambda x) for x>=0 (lambda>0). For the sample 1.75, 2.25, 2.50, 2.75, 3.25, the Maximum Likelihood Estimator of lambda is
Point and interval estimation has come up 28 times in 6 exams since 2008.
This question is on Maximum likelihood estimation, part of Point and interval estimation in Statistics.
Choosing the parameter value that makes the data most likely.
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Question from the IIT JAM 2023 paper. Solutions are TestStop's own. Not affiliated with or endorsed by any examination authority.