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Published in:
2014 | OriginalPaper | Chapter
2. The Statistical Approach
Author : Charles A. Rohde
Published in: Introductory Statistical Inference with the Likelihood Function
Publisher: Springer International Publishing
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Abstract
Assume that we have observed data D = x which was the result of a random experiment X (or can be approximated as such). The data are then modelled using
1.
A sample space, \(\mathcal{X}\) for the observed value of x
2.
A probability density function for X at x, f(x; θ)
3.
A parameter space for θ, \(\Theta \)