(c)Claim amounts on a certain type of policy are modelled as
following a gamma distribution
with parameters alpha = 120 and theta = 1.2. Calculate an
approximate value for the probability
that an individual claim amount exceeds 120, giving a reason for
the approach you use.
(c)Claim amounts on a certain type of policy are modelled as following a gamma distribution with...
The daily rainfall in Dublin (measured in millimeters) is modelled using a gamma distribution with parameters α = 0.8 and β = 0.4 (d) Use the central limit theorem to approximate the probability that the annual rainfall exceeds 800mm (write down the analytical formula and the code used to calculate the cdf value).
The daily rainfall in Japan (measured in millimeters) is modelled using a gamma distribution with parameters α = 0.8 and β = 0.4. Consider the overall rainfall in 365 days, and use mgfs and their properties to prove that this is Ga (292, 0.4). Use the central limit theorem to approximate the probability that the annual rainfall exceeds 800mm (write down the analytical formula and the R code used to calculate the cdf value).
The daily rainfall in Dublin (measured in millimeters) is modelled using a gamma distribution with parameters α = 0.8 and β = 0.4. (a) Write down the distribution (pdf) of the daily rainfall in Dublin. (b) Use Markov’s inequality to upper bound the probability that the observed rainfall in a given day is larger than 3 mm, and compare the value to its true counterpart. (c) Consider the overall rainfall in 365 days, and use mgfs and their properties to...
1. The size of claims made on an insurance policy are modelled through the following distribu- tion: You are interested in estimating the parameter λ > 0, using the following observations: 120, 20, 60, 70, 110, 150, 220, 160, 100, 100 (a) Verify that f is a density (b) Find the expectation of the generic random variable X, as a function of \ when A 1 (c) Prove that the method of moments estimator of λ is λι =斉. Calculate...
A certain type of electronic component has a lifetime Y (in hours) with probability density function given by That is, Y has a gamma distribution with parameters α = 2 and θ. Let denote the MLE of θ. Suppose that three such components, tested independently, had lifetimes of 120, 130, and 128 hours. a Find the MLE of θ. b Find E() and V(). c Suppose that actually equals 130. Give an approximate bound that you might expect for the error of estimation. d What...
ANSWER QUESTION 2 1. The size of claims made on an insurance policy are modelled through the following distribu- tion: λ+1 You are interested in estimating the parameter λ > 0, using the following observations 120, 20, 60, 70, 110, 150, 220, 160, 100, 100 (a) Verify that f is a density (b) Find the expectation of the generic random variable X, as a function of when > 1 (c) Prove that the method of moments estimator of λ is...
An article considered the use of a uniform distribution with A 0.20 and B4.25 for the diameter X of a certain type of weld (mm) (a) Determine the pdf of X. (Round your answers to three decimal places.) (b) What is the probability that diameter exceeds 1 mm? (Round your answer to three decimal places.) (c) What is the probability that diameter is within 1 mm of the mean diameter? (Round your answer to- three decimal places.) (d) For any value a satisfying 0.20...
solve d, e, f ASP please Let Y denote the claim size for a certain type of insurance policy and suppose Y has an exponential distribution with mean $300,000. (a) Write the density of Y for all values of y. (b) Determine the probability that a claim is smaller than $400,000 Define X = -Y so that X gives claim sizes that are negative, representing a payout from the insurance company. The remaining parts of this problem involve analyzing the...
Each of 12 refrigerators of a certain type has been returned to a distributor because of an audible, high-pitched, oscillating noise when the refrigerators are running. Suppose that 8 of these refrigerators have a defective compressor and the other 4 have less serious problems. If the refrigerators are examined in random order, let X be the number among the first 7 examined that have a defective compressor. (a) Calculate P(X = 5) and PCX S 5). (Round your answers to...
Each of 14 refrigerators of a certain type has been returned to a distributor because of an audible, high-pitched, oscillating noise when the refrigerators are running. Suppose that 9 of these refrigerators have a defective compressor and the other 5 have less serious problems. If the refrigerators are examined in random order, let Xbe the number among the first 6 examined that have a defective compressor. Calculate P(x 4) and P(X s P(X=4) = 0.4196 P(X 4) 10.8012 (a) 4)....