A flow of claims arriving at an insurance company is represented by a homogeneous Poisson process N in continuous time. (For now, we just count the number of claims arrived by time t.) Suppose that the mean inter-arrival time is equal to 1/A, where X is a positive parameter. Let the unit of time be an hour. Question 17 Suppose it is 10 a.m. now, and the last claim had arrived at 9:00 a.m. What is the probability that the inter-arrival time between the last and the next claim will be not smaller than 2 hours? (In other words, after 9:00 a.m. you will wait for the next claim at least 2 hours, but your present time is 10am, and you do know when the last claim arrived.) 2e-A et - e-d e-21 e-t
A flow of claims arriving at an insurance company is represented by a homogeneous Poisson process N in continuous time. (For now, we just count the number of claims arrived by time t.) Suppose that the mean inter-arrival time is equal to 1/A, where X is a positive parameter. Let the unit of time be an hour. Question 17 Suppose it is 10 a.m. now, and the last claim had arrived at 9:00 a.m. What is the probability that the inter-arrival time between the last and the next claim will be not smaller than 2 hours? (In other words, after 9:00 a.m. you will wait for the next claim at least 2 hours, but your present time is 10am, and you do know when the last claim arrived.) 2e-A et - e-d e-21 e-t
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Question
![A flow of claims arriving at an insurance company is represented by a homogeneous Poisson process Nt in continuous time. (For
now, we just count the number of claims arrived by time t.) Suppose that the mean inter-arrival time is equal to 1/λ, where X is a
positive parameter. Let the unit of time be an hour.
Question 17
Suppose it is 10 a.m. now, and the last claim had arrived at 9:00 a.m. What is the probability that the inter-arrival time between the
last and the next claim will be not smaller than 2 hours? (In other words, after 9:00 a.m. you will wait for the next claim at least 2
hours, but your present time is 10am, and you do know when the last claim arrived. )
2e-1
et - e-t
e-21
e-1
Question 18
Suppose it is 10 a.m. now, and the last claim had arrived at 9:00 a.m.. What is the probability that there will be exactly three claims
between 9:30 a.m. and 1 p.m.?
-4X
32 1³ e
27X³e-3x
2/A³e-3A
8
373 X ³ - 7 1
48](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa574767a-1b28-48ab-9fd0-f3b0aa8802f7%2F60c2bbbb-e778-4a12-84cc-99738956f99b%2Fzc7e7ce_processed.png&w=3840&q=75)
Transcribed Image Text:A flow of claims arriving at an insurance company is represented by a homogeneous Poisson process Nt in continuous time. (For
now, we just count the number of claims arrived by time t.) Suppose that the mean inter-arrival time is equal to 1/λ, where X is a
positive parameter. Let the unit of time be an hour.
Question 17
Suppose it is 10 a.m. now, and the last claim had arrived at 9:00 a.m. What is the probability that the inter-arrival time between the
last and the next claim will be not smaller than 2 hours? (In other words, after 9:00 a.m. you will wait for the next claim at least 2
hours, but your present time is 10am, and you do know when the last claim arrived. )
2e-1
et - e-t
e-21
e-1
Question 18
Suppose it is 10 a.m. now, and the last claim had arrived at 9:00 a.m.. What is the probability that there will be exactly three claims
between 9:30 a.m. and 1 p.m.?
-4X
32 1³ e
27X³e-3x
2/A³e-3A
8
373 X ³ - 7 1
48
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