6. In a study undertaken to model the reliability of car engines by the motor industry, the time to failure of these engines was modeled by the density function 4 f(t) = 1½te-1/r (a) Show that this density function is a member of the exponential family of distributions. Determine the natural parameter and the canonical link function, and find the variance function, V(µ). (b) A GLM with an inverse link function was fitted with a linear pre- dictor n = ai +ẞxsize, where a is the parameter for the ith car manufacturer and ẞ is the parameter for the engine size, size. The ML estimators of these parameters were calculated â₁ = -0.0712, 2 = -0.0565, 3 = -0.0678 and ẞ = −0.0207, where there existed only three car manufacturers, i = 1,2,3. Using this model, find the estimated mean survival time for a car pro- duced by manufacturer 3 with a 2.5 liter engine? Express the ratio of mean survival times for cars produced by manufacturers 1 and 2 as a function of the engine size, Isize.
6. In a study undertaken to model the reliability of car engines by the motor industry, the time to failure of these engines was modeled by the density function 4 f(t) = 1½te-1/r (a) Show that this density function is a member of the exponential family of distributions. Determine the natural parameter and the canonical link function, and find the variance function, V(µ). (b) A GLM with an inverse link function was fitted with a linear pre- dictor n = ai +ẞxsize, where a is the parameter for the ith car manufacturer and ẞ is the parameter for the engine size, size. The ML estimators of these parameters were calculated â₁ = -0.0712, 2 = -0.0565, 3 = -0.0678 and ẞ = −0.0207, where there existed only three car manufacturers, i = 1,2,3. Using this model, find the estimated mean survival time for a car pro- duced by manufacturer 3 with a 2.5 liter engine? Express the ratio of mean survival times for cars produced by manufacturers 1 and 2 as a function of the engine size, Isize.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Related questions
Question
Please assist with the following questions with the answers.
![6. In a study undertaken to model the reliability of car engines by the
motor industry, the time to failure of these engines was modeled by the
density function
4
f(t) = 1½te-1/r
(a) Show that this density function is a member of the exponential
family of distributions. Determine the natural parameter and the
canonical link function, and find the variance function, V(µ).
(b) A GLM with an inverse link function was fitted with a linear pre-
dictor n = ai +ẞxsize, where a is the parameter for the ith car
manufacturer and ẞ is the parameter for the engine size, size. The
ML estimators of these parameters were calculated
â₁ = -0.0712, 2 = -0.0565, 3 = -0.0678 and ẞ = −0.0207,
where there existed only three car manufacturers, i = 1,2,3. Using
this model, find the estimated mean survival time for a car pro-
duced by manufacturer 3 with a 2.5 liter engine? Express the ratio
of mean survival times for cars produced by manufacturers 1 and
2 as a function of the engine size, Isize.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fba18de34-fc06-47a6-b1ea-c54726b84874%2F713f2c7f-9db5-4afd-9608-2a5a94e80e7c%2Fyzz94ni_processed.png&w=3840&q=75)
Transcribed Image Text:6. In a study undertaken to model the reliability of car engines by the
motor industry, the time to failure of these engines was modeled by the
density function
4
f(t) = 1½te-1/r
(a) Show that this density function is a member of the exponential
family of distributions. Determine the natural parameter and the
canonical link function, and find the variance function, V(µ).
(b) A GLM with an inverse link function was fitted with a linear pre-
dictor n = ai +ẞxsize, where a is the parameter for the ith car
manufacturer and ẞ is the parameter for the engine size, size. The
ML estimators of these parameters were calculated
â₁ = -0.0712, 2 = -0.0565, 3 = -0.0678 and ẞ = −0.0207,
where there existed only three car manufacturers, i = 1,2,3. Using
this model, find the estimated mean survival time for a car pro-
duced by manufacturer 3 with a 2.5 liter engine? Express the ratio
of mean survival times for cars produced by manufacturers 1 and
2 as a function of the engine size, Isize.
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