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Exponential distribution with pdf: f(x10) = = exp (-x++), x> B B X>0 0>0 Assume ẞ is known. 1) How do you find the cutoff C* If the test has a size a, i.e., a = sup Plô=c*) 2) How do I find the MME of 0 and show it's an unbiased estimator. If X1 is the complete sufficient stat for 0, how do you find the UMVUE of 0?

Exponential distribution with pdf: f(x10) = = exp (-x++), x> B B X>0 0>0 Assume ẞ is known. 1) How do you find the cutoff C* If the test has a size a, i.e., a = sup Plô=c*) 2) How do I find the MME of 0 and show it's an unbiased estimator. If X1 is the complete sufficient stat for 0, how do you find the UMVUE of 0?

Calculus For The Life Sciences
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.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 1E
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Exponential distribution with pdf: f(x10) = = exp (-x++), x> B B X>0 0>0 Assume ẞ is known. 1) How do you find the cutoff C* If the test has a size a, i.e., a = sup Plô=c*) 2) How do I find the MME of 0 and show it's an unbiased estimator. If X1 is the complete sufficient stat for 0, how do you find the UMVUE of 0?
Transcribed Image Text:Exponential distribution with pdf: f(x10) = = exp (-x++), x> B B X>0 0>0 Assume ẞ is known. 1) How do you find the cutoff C* If the test has a size a, i.e., a = sup Plô=c*) 2) How do I find the MME of 0 and show it's an unbiased estimator. If X1 is the complete sufficient stat for 0, how do you find the UMVUE of 0?
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