In problem 17- 20, a system of linear equations and a reduced matrix for the system are given. (a) Use the reduced matrix to find the general solution of the system, if one exists. (b) If multiple solutions exist, find two specific solutions. 20. { x − y + z = 3 3 x + 2 z = 7 x − 4 y + 2 z = 5 [ 1 0 2 3 0 1 − 1 3 0 0 0 | 7 3 − 2 3 1 ]
In problem 17- 20, a system of linear equations and a reduced matrix for the system are given. (a) Use the reduced matrix to find the general solution of the system, if one exists. (b) If multiple solutions exist, find two specific solutions. 20. { x − y + z = 3 3 x + 2 z = 7 x − 4 y + 2 z = 5 [ 1 0 2 3 0 1 − 1 3 0 0 0 | 7 3 − 2 3 1 ]
Solution Summary: The author determines the general solution of the system using the given reduced matrix.
In problem 17- 20, a system of linear equations and a reduced matrix for the system are given. (a) Use the reduced matrix to find the general solution of the system, if one exists.
(b) If multiple solutions exist, find two specific solutions.
20.
{
x
−
y
+
z
=
3
3
x
+
2
z
=
7
x
−
4
y
+
2
z
=
5
[
1
0
2
3
0
1
−
1
3
0
0
0
|
7
3
−
2
3
1
]
~
exp(10). A
3. Claim number per policy is modelled by Poisson(A) with A
sample x of N = 100 policies presents an average = 4 claims per policy.
(i) Compute an a priory estimate of numbers of claims per policy.
[2 Marks]
(ii) Determine the posterior distribution of A. Give your argument.
[5 Marks]
(iii) Compute an a posteriori estimate of numbers of claims per policy.
[3 Marks]
How can I prepare for me Unit 3 test in algebra 1? I am in 9th grade.
iid
B1 Suppose X1, ..., Xn
fx(x), where
2
fx(x) = x exp(−x²/0),
0<< (0 otherwise).
(a) Find the maximum likelihood estimator of 0.
(b) Show that the MLE is an unbiased estimator of 0.
(c) Find the MSE of the MLE.
Hint: For parts (b) and (c), you may use integration by parts.
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