Let X₁,..., Xn be a random sample from a distribution with one of two pdfs. If 0 = 1, then f(x;0=1) = 1 (0 < x < 1). If 0 = 2, then f(x;0= 2) = 2x1 (0 < x < 1). (a) Give a general form of the MLE of 0. (b) You are given a sample data of 3 values: 0.4, 0.5, 0.8. Find the MLE estimate of 0 based on the data.

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Chapter1: Combinatorial Analysis
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Let \( X_1, \ldots, X_n \) be a random sample from a distribution with one of two pdfs. If \( \theta = 1 \), then \( f(x; \theta = 1) = I(0 < x < 1) \). If \( \theta = 2 \), then \( f(x; \theta = 2) = 2xI(0 < x < 1) \).

(a) Give a general form of the MLE of \( \theta \).

(b) You are given a sample data of 3 values: 0.4, 0.5, 0.8. Find the MLE estimate of \( \theta \) based on the data.
Transcribed Image Text:Let \( X_1, \ldots, X_n \) be a random sample from a distribution with one of two pdfs. If \( \theta = 1 \), then \( f(x; \theta = 1) = I(0 < x < 1) \). If \( \theta = 2 \), then \( f(x; \theta = 2) = 2xI(0 < x < 1) \). (a) Give a general form of the MLE of \( \theta \). (b) You are given a sample data of 3 values: 0.4, 0.5, 0.8. Find the MLE estimate of \( \theta \) based on the data.
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