(a) Y1, Y2, ..., Yn form a random sample from a probability distribution with cumu- lative distribution function Fy(y) and probability density function fy(y). Let Y(1) = min{Y1, Y2,..., Yn}. Write the cumulative distribution function for Y(1) in terms of Fy(y) and hence show that the probability density function for Y(1) is fy, (y) = n{1– Fy(y)}"-'fy(y).

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
icon
Related questions
Question
1. (a) Y1,Y2, ... , Yn form a random sample from a probability distribution with cumu-
lative distribution function Fy (y) and probability density function fy (y). Let
Y(1) = min{Y1, Y2,..., Yn}.
Write the cumulative distribution function for Y(1) in terms of Fy(y) and hence
show that the probability density function for Y(1) is
fY, (y) = n{1 – Fy(y)}"-' fy(y).
(b) An engineering system consists of 5 components connected in series, so, if one
components fails, the system fails. The lifetimes (measured in years) of the 5
components, Yı, Y2, . . . , Y5, are all independent and identically distributed.
(i) Suppose the lifetimes follow the standard uniform distribution U (0, 1). Find
the probability density function for Y(1), the time to failure for the system,
and hence find the probability that the system functions for at least 6
months without failing.
(ii) If, instead, the lifetimes follow an exponential distribution with mean 0,
then Y(1) follows an exponential distribution with mean 0/5. Prove this
result.
Assuming that the only information available is a single observation on Y(1),
find the most powerful test of size 0.05 for Ho : 0 = 01 versus H1 : 0
where 01 < 02. (Hint: the probability density function and cumulative
distribution function for an exponential random variable with mean 0 are
f (y) = 0-1 exp(-y/0), y > 0, and F(y) = 1 – exp(-y/0), y > 0, respec-
tively.)
02,
||
Transcribed Image Text:1. (a) Y1,Y2, ... , Yn form a random sample from a probability distribution with cumu- lative distribution function Fy (y) and probability density function fy (y). Let Y(1) = min{Y1, Y2,..., Yn}. Write the cumulative distribution function for Y(1) in terms of Fy(y) and hence show that the probability density function for Y(1) is fY, (y) = n{1 – Fy(y)}"-' fy(y). (b) An engineering system consists of 5 components connected in series, so, if one components fails, the system fails. The lifetimes (measured in years) of the 5 components, Yı, Y2, . . . , Y5, are all independent and identically distributed. (i) Suppose the lifetimes follow the standard uniform distribution U (0, 1). Find the probability density function for Y(1), the time to failure for the system, and hence find the probability that the system functions for at least 6 months without failing. (ii) If, instead, the lifetimes follow an exponential distribution with mean 0, then Y(1) follows an exponential distribution with mean 0/5. Prove this result. Assuming that the only information available is a single observation on Y(1), find the most powerful test of size 0.05 for Ho : 0 = 01 versus H1 : 0 where 01 < 02. (Hint: the probability density function and cumulative distribution function for an exponential random variable with mean 0 are f (y) = 0-1 exp(-y/0), y > 0, and F(y) = 1 – exp(-y/0), y > 0, respec- tively.) 02, ||
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Point Estimation, Limit Theorems, Approximations, and Bounds
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
Probability
ISBN:
9780134753119
Author:
Sheldon Ross
Publisher:
PEARSON
A First Course in Probability
A First Course in Probability
Probability
ISBN:
9780321794772
Author:
Sheldon Ross
Publisher:
PEARSON