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QUESTION6 (a) The three-parameter gamma distribution has the probability density function x (r)- exp (r-c)-1,x> Derive...
Recall that the exponential distribution with parameter A > 0 has density g (x) Ae, (x > 0). We write X Exp (A)...
Recall that the exponential distribution with parameter A > 0 has density g (x) Ae, (x > 0). We write X Exp (A) when a random variable X has this distribution. The Gamma distribution with positive parameters a (shape), B (rate) has density h (x) ox r e , (r > 0). and has expectation.We write X~ Gamma (a, B) when a random variable X has this distribution Suppose we have independent and identically distributed random variables X1,..., Xn, that...
3. Given the survival function: S(t) exp(-t7) derive the probability density function and the hazard function...
3. Given the survival function: S(t) exp(-t7) derive the probability density function and the hazard function 4 Derive λ t f (t) S(t using the definition of the hazard function and basic definition of conditional probability. 5. Derive S(t) e-) using the definition of the hazard function. 6. Given the hazard function: derive the survival function and the probability density function 7. Prove that if T' has an arbitrary continuous distribution, the cumulative hazard of T, A(T), has an exponential...
1. Suppose that Y ∼ Gamma(α, β) and c > 0 is a constant. (a) Derive the density function of U ...
1. Suppose that Y ∼ Gamma(α, β) and c > 0 is a constant. (a)
Derive the density function of U = cY. (b) Identify the
distribution of U as a standard distribution. Be sure to identify
any parameter values. (c) Can you find the distribution of U using
MGF method also?
I. Suppose that Y ~ Gamma(α, β) and c > 0 is a constant. (a) Derive the density function of U cY. (b) Identify the distribution of U...
8. The Gamma(a, A) distribution has density f(x)(a) where for a0' a 0 and A >...
8. The Gamma(a, A) distribution has density f(x)(a) where for a0' a 0 and A > 0 (a) Showfx,of(x) dr-1. Recall !"(a)-C"rtta-idt. (b) If X has a gamma distribution with parameters α and λ, find a general expression for E(Xk). (Answer: ) (c) Use your answer to the last question to find Var(X). The identity「(α + 1) a「(a) will help.
QUESTION 4 The bivariate beta type Il distribution has the probability density function a-1,b-1 x...
QUESTION 4 The bivariate beta type Il distribution has the probability density function a-1,b-1 x>0, y>0 (1+x+y)atbte, where K 「(a)「(b)「(c) = (a) Derive the marginal probability density function of X (5 (b) Find the E (XYs) (5
QUESTION 4 The bivariate beta type Il distribution has the probability density function a-1,b-1 x>0, y>0 (1+x+y)atbte, where K 「(a)「(b)「(c) = (a) Derive the marginal probability density function of X (5 (b) Find the E (XYs) (5
The probability density function for a Weibull random variable with positive parameters and KS x>...
The probability density function for a Weibull random variable with positive parameters and KS x>0 (a) Find expressions for the population mean, median, and mode. (Hint: they might not all be closed-form.) (b) Find parameter values associated with the following three cases: the population me- dian and mode of the distribution are equal; the population mean and median of the distribution are equal; the population mean and mode of the distribution are equal.
The probability density function for a Weibull...
A probability distribution function for a random variable X has the form Fx(x) = A{1 -...
A probability distribution function for a random variable X has the form Fx(x) = A{1 - exp[-(x - 1)]}, 1<x< 10, -00<x<1 (a) For what value of A is this a valid probability distribution function? (b) Find the probability density function and sketch it. (c) Use the density function to find the probability that the random variable is in the range 2 < X <3. Check your answer using the distribution function. (d) Find the probability that the random variable...
1. Given a continuous random number x, with the probability density P(x) = A exp(-2x) for...
1. Given a continuous random number x, with the probability density P(x) = A exp(-2x) for all x > 0, find the value of A and the probability that x > 1.
I. Let X be a random sample from an exponential distribution with unknown rate parameter θ...
I. Let X be a random sample from an exponential distribution with unknown rate parameter θ and p.d.f (a) Find the probability of X> 2. (b) Find the moment generating function of X, its mean and variance. (c) Show that if X1 and X2 are two independent random variables with exponential distribution with rate parameter θ, then Y = X1 + 2 is a random variable with a gamma distribution and determine its parameters (you can use the moment generating...
2-2.3 A probability distribution function for a random variable has the form F,(x) = A(1-exp[-(x-1)) 1...
2-2.3 A probability distribution function for a random variable has the form F,(x) = A(1-exp[-(x-1)) 1 < x < oo -00<xs1 a) For what value of A is this a valid probability distribution function? b) What is Fx (2)? c) What is the probability that the random variable lies in the interval 2 X < 00? d) What is the probability that the random variable lies in the interval 1 <X s3?
Recall that the exponential distribution with parameter A > 0 has density g (x) Ae, (x > 0). We write X Exp (A) when a random variable X has this distribution. The Gamma distribution with positive parameters a (shape), B (rate) has density h (x) ox r e , (r > 0). and has expectation.We write X~ Gamma (a, B) when a random variable X has this distribution Suppose we have independent and identically distributed random variables X1,..., Xn, that...
3. Given the survival function: S(t) exp(-t7) derive the probability density function and the hazard function 4 Derive λ t f (t) S(t using the definition of the hazard function and basic definition of conditional probability. 5. Derive S(t) e-) using the definition of the hazard function. 6. Given the hazard function: derive the survival function and the probability density function 7. Prove that if T' has an arbitrary continuous distribution, the cumulative hazard of T, A(T), has an exponential...
1. Suppose that Y ∼ Gamma(α, β) and c > 0 is a constant. (a)
Derive the density function of U = cY. (b) Identify the
distribution of U as a standard distribution. Be sure to identify
any parameter values. (c) Can you find the distribution of U using
MGF method also?
I. Suppose that Y ~ Gamma(α, β) and c > 0 is a constant. (a) Derive the density function of U cY. (b) Identify the distribution of U...
8. The Gamma(a, A) distribution has density f(x)(a) where for a0' a 0 and A > 0 (a) Showfx,of(x) dr-1. Recall !"(a)-C"rtta-idt. (b) If X has a gamma distribution with parameters α and λ, find a general expression for E(Xk). (Answer: ) (c) Use your answer to the last question to find Var(X). The identity「(α + 1) a「(a) will help.
QUESTION 4 The bivariate beta type Il distribution has the probability density function a-1,b-1 x>0, y>0 (1+x+y)atbte, where K 「(a)「(b)「(c) = (a) Derive the marginal probability density function of X (5 (b) Find the E (XYs) (5
QUESTION 4 The bivariate beta type Il distribution has the probability density function a-1,b-1 x>0, y>0 (1+x+y)atbte, where K 「(a)「(b)「(c) = (a) Derive the marginal probability density function of X (5 (b) Find the E (XYs) (5
The probability density function for a Weibull random variable with positive parameters and KS x>0 (a) Find expressions for the population mean, median, and mode. (Hint: they might not all be closed-form.) (b) Find parameter values associated with the following three cases: the population me- dian and mode of the distribution are equal; the population mean and median of the distribution are equal; the population mean and mode of the distribution are equal.
The probability density function for a Weibull...
A probability distribution function for a random variable X has the form Fx(x) = A{1 - exp[-(x - 1)]}, 1<x< 10, -00<x<1 (a) For what value of A is this a valid probability distribution function? (b) Find the probability density function and sketch it. (c) Use the density function to find the probability that the random variable is in the range 2 < X <3. Check your answer using the distribution function. (d) Find the probability that the random variable...
1. Given a continuous random number x, with the probability density P(x) = A exp(-2x) for all x > 0, find the value of A and the probability that x > 1.
I. Let X be a random sample from an exponential distribution with unknown rate parameter θ and p.d.f (a) Find the probability of X> 2. (b) Find the moment generating function of X, its mean and variance. (c) Show that if X1 and X2 are two independent random variables with exponential distribution with rate parameter θ, then Y = X1 + 2 is a random variable with a gamma distribution and determine its parameters (you can use the moment generating...
2-2.3 A probability distribution function for a random variable has the form F,(x) = A(1-exp[-(x-1)) 1 < x < oo -00<xs1 a) For what value of A is this a valid probability distribution function? b) What is Fx (2)? c) What is the probability that the random variable lies in the interval 2 X < 00? d) What is the probability that the random variable lies in the interval 1 <X s3?
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