Question

1. The Weibull distribution has many applications in reliability engineering, survival analysis, and general insurance. Let β > 0, δ > 0. Consider the probability density function x>0 zero otherwise. Find the probability distribution of W-Xa Determine the probability distribution of W by finding the c.d.f. of W, F w(w). i Find the c.d.f. of X, Fx(x) Hint 1: u-substitution: u- Hint 2: Hint 3: Should be FX(0)-0, P(Xs) There is no such thing as a negative cumulative distribution function. Fx(o)-1. i) Find the c.d.f. of W, Fw(w) - P(Wsw) P(x*s w). iii) What is the name of the probability distribution of w? What are its parameters?

0 0
Add a comment Improve this question Transcribed image text
Know the answer?
Add Answer to:
1. The Weibull distribution has many applications in reliability engineering, survival analysis, and general insurance. Let...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • 1. The Weibull distribution has many applications in reliability engineering, survival analysis, and general insurance. function...

    1. The Weibull distribution has many applications in reliability engineering, survival analysis, and general insurance. function Let p> 0, δ > 0. Consider the probability density x>0 zero otherwise. Find the probability distribution of w-x6 a) Determine the probability distribution of W by finding the c.d.f. of W, Fw(w). Find the cd.f. of X, Fx(x) = P(X x). “Hint', 1: u-substitution: u "Hint" 2: There is no such thing as a negative cumulative distribution function "Hint" 3: Should be Fx(0)-0,...

  • 1. The Weibull distribution has many applications in reliability engineering, survival analysis, and general insurance. Let...

    1. The Weibull distribution has many applications in reliability engineering, survival analysis, and general insurance. Let β > 0, δ > 0. Consider the probability density function x>0 zero otherwise. Find the probability distribution of W-X b) Determine the probability distribution of W by finding the p.d.f. of W, /w(w). using the change-of-variable technique. Find the pd.f. of W. w(w)d ii) What is the name of the probability distribution of W? What are its parameters?

  • 1. The Weibull distribution has many applications in reliability engineering, survival analysis, and general insurance. Let...

    1. The Weibull distribution has many applications in reliability engineering, survival analysis, and general insurance. Let β > 0, δ > 0. Consider the probability density function x>0 zero otherwise. Find the probability distribution of W-X c Determine the probability distribution of W by finding the m.g.f. of W, Mw(t) Find the mgf. of w. Mw(t)-E(e, w )-E(e'x®). 1: u-substitution:v5 t X i) Hint -substitution:-»5. Hint', 2: Must have t< for the integral to converge . i What is the...

  • 1. The Weibull distribution has many applications in reliability engineering, survival analysis, and general insurance. function...

    1. The Weibull distribution has many applications in reliability engineering, survival analysis, and general insurance. function Let β > 0, δ > O. Consider the probability density fx(x) = βδΧ6-1 e-Px®, x>0, zero otherwise. Find the probability distribution of W-X" b) Determine the probability distribution of W by finding the p.d.f. of W, fw(w), using the change-of-variable technique D) Find the p.d.f. of W, w)-x(w ii What is the name of the probability distribution of W? What are its parameters?...

  • 2- 5. The Weibull distribution has many applications in reliability engineering, survival analysi...

    2- 5. The Weibull distribution has many applications in reliability engineering, survival analysis, and general insurance. Let B>0, 8>0. Consider the probability density function x>0 zero otherwise Recall (Homework #1) V-Χδ has an Exponential(8-T )-Gamma(u-l,e-1 ) distribution. Let X1, . , X/ be a random sample from the above probability distribution. y-ΣΧ.Σν i has a Gamma(u-n, θ- 1 ) distribution. !!! i-l 2. suppose δ is known. Let Xi, X2, , Xn be a random sample from the distribution with...

  • The Pareto probability distribution has many applications in economics, biology, and physics. Let β> 0 and...

    The Pareto probability distribution has many applications in economics, biology, and physics. Let β> 0 and δ> 0 be the population parameters, and let XI, X2, , Xn be a random sample from the distribution with probability density function zero otherwise. Suppose B is known Recall: a method of moments estimator of δ is δ = the maximum likelihood estimator of δ is δ In In X-in β has an Exponential (0--) distribution Suppose S is known Recall Fx(x) =...

  • 1. Consider a continuous random variable X with the probability density function Sx(x) = 3<x<7, zero...

    1. Consider a continuous random variable X with the probability density function Sx(x) = 3<x<7, zero elsewhere. a) Find the value of C that makes fx(x) a valid probability density function. b) Find the cumulative distribution function of X, Fx(x). "Hint”: To double-check your answer: should be Fx(3)=0, Fx(7)=1. 1. con (continued) Consider Y=g(x)- 20 100 X 2 + Find the support (the range of possible values) of the probability distribution of Y. d) Use part (b) and the c.d.f....

  • 1. Let X1, ..., Xn be a random sample of size n from a normal distribution,...

    1. Let X1, ..., Xn be a random sample of size n from a normal distribution, X; ~ N(M, 02), and define U = 21-1 X; and W = 2-1 X?. (a) Find a statistic that is a function of U and W and unbiased for the parameter 0 = 2u – 502. (b) Find a statistic that is unbiased for o? + up. (c) Let c be a constant, and define Yi = 1 if Xi < c and...

  • I am studying Continuous Random Variables. Hope can some one tell me the solutions of these two problems! II.1 Let X be...

    I am studying Continuous Random Variables. Hope can some one tell me the solutions of these two problems! II.1 Let X be a continuous random variable with the density function 1/4 if x E (-2,2) 0 otherwise &Cx)={ Find the probability density function of Z = X density function fx. Find the distribution function Fy (t) and the density function f,(t) of Y=지 (in terms of Fx and fx). II.1 Let X be a continuous random variable with the density...

  • Question 1 A continuous random variable X which represents the amount of sugar (in kg) used...

    Question 1 A continuous random variable X which represents the amount of sugar (in kg) used by a family per week, has the probability density function c(x-102-x) 1sxs2 ; otherwise (0) (ii) (ii) Determine the value of c. Obtain cumulative distribution function Find P(X < 1.2). Consider the following cumulative distribution function for X. 06 0.8 1.0 Fx) 0.9 (i) Determine the probability distribution. (ii) Find P(X 1). (ii) Find P(OX5) Question 3 Consider the following pdf otherwise (i) (ii)...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT