Question: Let X1, . . ., Xn be an observed random sample and X(n1 + 1), . . . ,Xn be the missing (at random) observations.
(a) Show that
-1.png)
are sufficient statistics for y = (μ, σ2).
(b) Obtain the EM sequence for y = (μ, σ2).
(c) Consider a censored normal sample with n = 10, with the largest three being censored [Gupta].
-2.png)
Using the results of part (a), obtain an EM estimate of y = (μ, σ2) with an arbitrary starting point.
1613 .644 1.663 1.732 1.740 1.763 1.778
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a The complete likelihood function of X is By NeymanFisher Factorization theorem are su... View full answer
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