MLE of Gaussian Mean
Intermediate
Return the maximum-likelihood estimate of the mean of a Gaussian distribution from its samples.
Implement solve(x).
Returns. Return a float. An empty sample gives nan.
Examples
Example 1
Input:
solve([1.0, 2.0, 3.0])
Output:
2.0
Example 2
Input:
solve([-1.0, 1.0])
Output:
0.0
Keywords
problemsetmaths-stats-for-mlestimation
Python
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