Consider a random sample X1, . . . , Xn from the uniform distribution U(−θ, θ) with parameter θ > 0 (1) Find the maximum likelihood estimation of θ. (2) Find the maximum likelihood estimation of the variance of the population distribution (you can use, without proof, what the mean and the variance of the uniform distribution are).

Consider a random sample X1, . . . , Xn from the uniform distribution U(−θ, θ) with parameter θ > 0 (1) Find the maximum likelihood estimation of θ. (2) Find the maximum likelihood estimation of the variance of the population distribution (you can use, without proof, what the mean and the variance of the uniform distribution are).

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 31EQ

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