Q2. Suppose you have the same pdf given in Q1 with known B. The goal is to estimate the unknown 0. But suppose that, instead of observing X1,...,X, exactly, you only get to see whether or not each X; is less than 5. That is, you only observe Y1,..., Ym where 19• • (1, X, 5 5 Y, =. 0, X, > 5 ,i = 1,..., n. a) What is the distribution from which Y1,..., Y, is sampled? 19•••, n b) Using the corrupted data Y,...,Y, only, discuss how to find the numeric values of the MLE 0.

Q2. Suppose you have the same pdf given in Q1 with known B. The goal is to estimate the unknown 0. But suppose that, instead of observing X1,...,X, exactly, you only get to see whether or not each X; is less than 5. That is, you only observe Y1,..., Ym where 19• • (1, X, 5 5 Y, =. 0, X, > 5 ,i = 1,..., n. a) What is the distribution from which Y1,..., Y, is sampled? 19•••, n b) Using the corrupted data Y,...,Y, only, discuss how to find the numeric values of the MLE 0.

Name: Q1. Let X,..,X, are iid from a distribution withpdfF(xe) = 9B°X2 βwhe
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Description: Q1. Let X,..,X, are iid from a distribution withpdfF(xe) = 9B°X2 βwhere B and 0are positive unknownparameters. Q2. Suppose you have the same pdf given in Q1with known ß. The goal is to estimate theunknown 0. But suppose that, instead of observingX1,

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter3: The Derivative

Section3.3: Rates Of Change

Problem 1E

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