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Intermediate Proof

Derivation of Maximum Likelihood Estimators (MLEs) for Simple Distributions

Students frequently confuse the Likelihood function L(θ) L(\theta) with a probability density function. Crucially, L(θ) L(\theta) is a function of θ \theta with fixed x x , not a distribution over x x . Thus, it does not necessarily integrate to one, and the 'area' under L(θ) L(\theta) lacks a standard probabilistic interpretation.
Institutional Reference: Applied Statistics
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