Nis the random variable for the number of accidents in a single year. Nfollows the distribution: Pr(N= n) = 0.9(0.1)"-' n = 1, 2,... X, is the random variable for the claim amount of the ith accident....


Nis the random variable for the number of accidents in a single year. Nfollows the<br>distribution:<br>Pr(N= n) = 0.9(0.1)0, i= 1, 2,... Let Uand V,, V,... be independent random variables following the uniform distribution on (0, 1). You use the inverse transformation method with U to simulate Nand V, to simulate X, with small values of random numbers corresponding to small values of Nand X,. You are given the following random numbers for the first simulation: u V2 V3 V4 0.05 0.30 0.22 0.52 0.46 Calculate the total amount of claims during the year for the first simulation. "/>
Extracted text: Nis the random variable for the number of accidents in a single year. Nfollows the distribution: Pr(N= n) = 0.9(0.1)"-' n = 1, 2,... X, is the random variable for the claim amount of the ith accident. X, follows the distribution: g(x,) = 0.01 e 0.01x, x,>0, i= 1, 2,... Let Uand V,, V,... be independent random variables following the uniform distribution on (0, 1). You use the inverse transformation method with U to simulate Nand V, to simulate X, with small values of random numbers corresponding to small values of Nand X,. You are given the following random numbers for the first simulation: u V2 V3 V4 0.05 0.30 0.22 0.52 0.46 Calculate the total amount of claims during the year for the first simulation.

Jun 03, 2022
SOLUTION.PDF

Get Answer To This Question

Related Questions & Answers

More Questions »

Submit New Assignment

Copy and Paste Your Assignment Here
April
January
February
March
April
May
June
July
August
September
October
November
December
2025
2025
2026
2027
SunMonTueWedThuFriSat
30
31
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
1
2
3
00:00
00:30
01:00
01:30
02:00
02:30
03:00
03:30
04:00
04:30
05:00
05:30
06:00
06:30
07:00
07:30
08:00
08:30
09:00
09:30
10:00
10:30
11:00
11:30
12:00
12:30
13:00
13:30
14:00
14:30
15:00
15:30
16:00
16:30
17:00
17:30
18:00
18:30
19:00
19:30
20:00
20:30
21:00
21:30
22:00
22:30
23:00
23:30