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TOPIC: Probability Distribution of Cumulative Hazard Functon.
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Prove that if T has an arbitrary continuous distribution, the cumulative hazard of T, A(T), has...
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...
5. Let f(t) be the probability density function, and F(t) be the corresponding cumulative f(t) distribution...
5. Let f(t) be the probability density function, and F(t) be the corresponding cumulative f(t) distribution function. Define the hazard function h(t) Show that if X is an 1-F(t): exponential random variable with parameter 1 > 0, then its hazard function will be a constant h(t) = 1 for all t > 0. Think of how this relates to the memorylessness property of exponential random variables.
Q2. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function...
Q2. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function Fx. Let b > 0 a) Find the cumulative distribution function ofY -XKX< (b) Apply the general formula fron (a) to exponential distribution with parameter > 0.
Q2. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function...
Q2. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function Fx Let b> 0. (a) Find the cumulative distribution function of Y = XI(X < b} (b) Apply the general formula from (a) to exponential distribution with parameter λ > 0.
Q1. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function...
Q1. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function F and density f. Let b>0. (a) Write the forinula for E(X b)+1. (b) Apply the general formula from (a) to exponential distribution with parameter λ > 0.
3. Classifying Life Distributions. Suppose a continuous lifetime T has survival function S(O), hazard function h(i),...
3. Classifying Life Distributions. Suppose a continuous lifetime T has survival function S(O), hazard function h(i), cumulative hazard function (1), and mean residual life m(t). Consider the following properties that I might have: I. h(t) is nondecreasing for 120, called increasing failure rate (IFR). II. HIV/1 is nondefreasing for >0, called increasing failure rate on the average (IFRA). II. ml) Sm(0) for all / 20, called new better than used (NBU). IV. m(1) decreases in 1, called decreasing mean residual...
I need the answer for (ii) 1. A certain continuous distribution has cumulative distribution function (CDF)...
I need the answer for (ii)
1. A certain continuous distribution has cumulative distribution function (CDF) given by F(a)-0, <0 where θ is an unknown parameter, θ > 0. Let X, be the sample miean and X(n) = max {Xu X2, ,..} 0) Show that n +, is an unbiased stimator of o Find its mean squnare error and check whether θι, is consistent for θ. (ii) Show that 2n- Xn) is a consistent estimator of fe (iii) Assume n...
et 11, . .. , /n be independent continuous nonnegative random variables with hazard functions λι...
et 11, . .. , /n be independent continuous nonnegative random variables with hazard functions λι ( .). . . . , λη (. ). Prove that T-man (Tİ , . . . , Tn) has hazard function Σηι λίο.
Q3. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function...
Q3. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function Fx Let b> o. (a) Find the cumulative distribution function of Y = (X-b)+ b) Apply the general formula from (a) to Pareto distribution with parameter a > 0. Hint: Consider separately cases b e (0, 1 and b> 1
Q3. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function...
Q3. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function Fx Let b>0 (a) Find the cumulative distribution function of Y- (X -b)+ (b) Apply the general formula from (a) to Pareto distribution with parameter a > 0. Hint: Consider separately cases b e (0, 1] and b> 1.
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...
5. Let f(t) be the probability density function, and F(t) be the corresponding cumulative f(t) distribution function. Define the hazard function h(t) Show that if X is an 1-F(t): exponential random variable with parameter 1 > 0, then its hazard function will be a constant h(t) = 1 for all t > 0. Think of how this relates to the memorylessness property of exponential random variables.
Q2. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function Fx. Let b > 0 a) Find the cumulative distribution function ofY -XKX< (b) Apply the general formula fron (a) to exponential distribution with parameter > 0.
Q2. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function Fx Let b> 0. (a) Find the cumulative distribution function of Y = XI(X < b} (b) Apply the general formula from (a) to exponential distribution with parameter λ > 0.
Q1. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function F and density f. Let b>0. (a) Write the forinula for E(X b)+1. (b) Apply the general formula from (a) to exponential distribution with parameter λ > 0.
3. Classifying Life Distributions. Suppose a continuous lifetime T has survival function S(O), hazard function h(i), cumulative hazard function (1), and mean residual life m(t). Consider the following properties that I might have: I. h(t) is nondecreasing for 120, called increasing failure rate (IFR). II. HIV/1 is nondefreasing for >0, called increasing failure rate on the average (IFRA). II. ml) Sm(0) for all / 20, called new better than used (NBU). IV. m(1) decreases in 1, called decreasing mean residual...
I need the answer for (ii)
1. A certain continuous distribution has cumulative distribution function (CDF) given by F(a)-0, <0 where θ is an unknown parameter, θ > 0. Let X, be the sample miean and X(n) = max {Xu X2, ,..} 0) Show that n +, is an unbiased stimator of o Find its mean squnare error and check whether θι, is consistent for θ. (ii) Show that 2n- Xn) is a consistent estimator of fe (iii) Assume n...
et 11, . .. , /n be independent continuous nonnegative random variables with hazard functions λι ( .). . . . , λη (. ). Prove that T-man (Tİ , . . . , Tn) has hazard function Σηι λίο.
Q3. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function Fx Let b> o. (a) Find the cumulative distribution function of Y = (X-b)+ b) Apply the general formula from (a) to Pareto distribution with parameter a > 0. Hint: Consider separately cases b e (0, 1 and b> 1
Q3. Assume that X is a continuous and nonnegative random variable with the cumulative distribution function Fx Let b>0 (a) Find the cumulative distribution function of Y- (X -b)+ (b) Apply the general formula from (a) to Pareto distribution with parameter a > 0. Hint: Consider separately cases b e (0, 1] and b> 1.
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Population Standard Deviation
5.0000
Sample Size
11
Sample Mean
54.9091
Confidence Interval
Confidence Coefficient
0.98
Lower...
asked 54 minutes ago