This chapter:classical inference We view the unknown parameter 0 as a deterministic (not random!)but unknown quantity. The observation X is random and its distribution px(x;0)if X is discrete fx(x;0)if X is continuous depends on the value of 0.This chapter: classical inference  We view the unknown parameter 𝜃 as a deterministic (not random!) but unknown quantity.  The observation 𝑋 is random and its distribution  𝑝𝑋 𝑥; 𝜃 if 𝑋 is discrete  𝑓𝑋 𝑥; 𝜃 if 𝑋 is continuous depends on the value of 𝜃