e a random sample of size n from a population with a uniform distribution on the interval (0, 0). Let , ) and U = istribution function u< 0, - Osus1, u> 1. nction for Y(n) is G,(Y) = X ,0 sys 0, so the distribution function for U is given by = P(Y(n)) s Ou = G, )- " v ,0sy s1. ution of U does not depend on 0, U is a pivotal quantity. Find a 95% lower confidence bound for 0.
e a random sample of size n from a population with a uniform distribution on the interval (0, 0). Let , ) and U = istribution function u< 0, - Osus1, u> 1. nction for Y(n) is G,(Y) = X ,0 sys 0, so the distribution function for U is given by = P(Y(n)) s Ou = G, )- " v ,0sy s1. ution of U does not depend on 0, U is a pivotal quantity. Find a 95% lower confidence bound for 0.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
![Let Y,, Y2, ..., Y, denote a random sample of size n from a population with a uniform distribution on the interval (0, 0). Let
Y(n) = max(Y1, Y2, ..., Y, ) and U =
(n).
(a) Show that U has distribution function
u < 0,
Fulu) = {u",
(1,
Osus1,
u > 1.
The distribution function for Yn) is G,(y) =
X ,0 sys 0, so the distribution function for U is given by
Flu) = P(U s u) = P(Y(n) s Ou = G,
)- u"
V ,0 sy s1.
(b) Because the distribution of U does not depend on 0, U is a pivotal quantity. Find a 95% lower confidence bound for 0.
)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F103933e4-63ef-4463-ac77-0d7fcde1e925%2F3158b91b-088c-47f3-8f08-628e08b9a640%2F6xnwrz9_processed.png&w=3840&q=75)
Transcribed Image Text:Let Y,, Y2, ..., Y, denote a random sample of size n from a population with a uniform distribution on the interval (0, 0). Let
Y(n) = max(Y1, Y2, ..., Y, ) and U =
(n).
(a) Show that U has distribution function
u < 0,
Fulu) = {u",
(1,
Osus1,
u > 1.
The distribution function for Yn) is G,(y) =
X ,0 sys 0, so the distribution function for U is given by
Flu) = P(U s u) = P(Y(n) s Ou = G,
)- u"
V ,0 sy s1.
(b) Because the distribution of U does not depend on 0, U is a pivotal quantity. Find a 95% lower confidence bound for 0.
)
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