10.1
Facts You
Need to Use
1. 
2. 
3. 
10.7
Facts You
Need to Use
10.16
Facts You
Need to Use
1. 
2. 
3. 
10.23
Facts You
Need to Use
1. 
2.
10.32
Facts You
Need to Use
1. 
2. 
a.
b.
10.34
10.39
Facts You
Need to Use
1. 
2.
3.
10.45
Facts You
Need to Use
Factorization theorem (Theorem 10.4)
10.46
Facts You
Need to Use
Factorization theorem (Theorem
10.4)
By Factorization Theorem, estimator is
sufficient.
10.47
Facts You
Need to Use
Definition of the sufficient statistic. Show that
the
conditional distribution of X1 and X2 given the
statistic
is independent of the parameter, if the statistic is sufficient. If not,
then
not sufficient.
10.51
Facts You
Need to Use
Factorization theorem (Theorem 10.4)
10.55
10.58
10.64
10.66
a.
b.
10.80
10.87
Data: 1, 3 5, 1, 2, 1, 3, 7, 2, 4, 4, 8, 1, 3, 6, 5, 2,
1, 6, 2
10.92
Facts You
Need to Use
a. In our case parameter is l.
b.
10.97
Facts You
Need to Use
1. 
a. 
b. 
c.
