Question

Suppose that K = 3, and let E =\{ 1, 2, 3\}. Let X_1, \ldots , X_ n \stackrel{iid}{\sim } \mathbf{P}_{\mathbf{p}} for some unknown \mathbf{p} \in \Delta _3. Let f_{\mathbf{p}} denote the pmf of \mathbf{P}_{\mathbf{p}} and recall that the likelihood is defined to be

L_ n(X_1, \ldots , X_ n, \mathbf{p}) = \prod _{i = 1}^ n f_{\mathbf{p}}(X_ i).

Here we let the sample size be n = 12, and you observe the sample \mathbf{x} = x_1, \ldots , x_{12} given by

\mathbf{x} = 1, 3, 1, 2, 2, 2, 1, 1, 3, 1, 1, 2,.

The likelihood for this data set can be expressed as L_{12}( \mathbf{x}, \mathbf{p}) = p_1^ A p_2^ B p_3^ C.

Fill in the values of A, B, and C below.

A =
B =
C =

Answers

There are no human answers yet.
Answered by GPT 3.5
To calculate the likelihood, we need to count the occurrences of each value in the sample.

From the given sample, we have:
- The value 1 appears 6 times.
- The value 2 appears 4 times.
- The value 3 appears 2 times.

Therefore, we can calculate the likelihood as:

L_{12}( \mathbf{x}, \mathbf{p}) = p_1^6 p_2^4 p_3^2.

So, A = 6, B = 4, and C = 2.

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