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For the Weibull distribution with parameters a and ), recall that for t > 0 the...
For the Weibull distribution with parameters a and \, recall that for t > 0 the density function and distribution function are, respectively, f(t) = alºja-1e-(At)a F(t) =1-e-(At)a Suppose that T has the Weibull distribution with parameters a = 1/2 and 1 = 9. an (4 points) Compute work. approximation of P(1 < T < 1.01 T > 1) using the hazard rate. Show y
5. For the Weibull distribution with parameters a and X, recall that for t> 0 the density function and distribution function are, respectively, f(t) = 410-1-(At) F(t) = 1 -e-(1)" Suppose that T has the Weibull distribution with parameters a = 1/2 and X = 9. (a) (4 points) Compute exactly P(1 <1 < 1.017 > 1). Show your work. Write your answer to 6 decimal places. (b) (4 points) Compute an approximation of P(1 <T < 1.01 T >...
2te-t2 = { t> 0 6. Let g(t) be the probability density function of the continuous 0 t < 0 random variable X. a. Verify that g(t) is indeed a probability density function. [8] b. Find the median of X, i.e. the number m such that P(X 5 m) = į = 0.5. [7]
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?
9. The distribution function of a random variable X is given by 0, for r<-1, F(x) = { 271 -1<x<1, 1, 2 > 1. Find (a) P(Z < X < }); (b) P(1<x< 2).
JWV) - V ior U21 and U <1 < 0. (6) Losses have a Weibull distribution. A random sample of 16 losses is 54, 70, 75, 81 84. 88, 97, 105, 109, 114, 122, 125, 128, 139, 146, and 153. Use percentile matching! with the 20th and 70th percentiles to estimate the parameters 7 and 8.
Suppose Y1, Y2, ..., Yn is an iid sample from a Pareto population distribution described by the pdf fy(y|0) = 4ao y -0-1 y > 20, 2 where the parameter do is known. The unknown parameter is 0 > 0. (a) Find the MOM estimator of 0. (b) Find the MLE of 0.
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 a 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...
Find the Laplace transform of the function f(t). f(t) = sint if o St<$21; f(t) = 0 if t> 21 Click the icon to view a short table of Laplace transforms. F(S) =
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?...