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Theory of Statistics - George Mason University

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858 Appendix C. Notation and Definitions<br />

P(α, x) The regularized incomplete gamma function, which is<br />

the CDF <strong>of</strong> the standard gamma distribution,<br />

B(α, β) The beta function,<br />

P(α, x) =<br />

B(α, β) = Γ(α)Γ(β)<br />

Γ(α + β)<br />

=<br />

=<br />

γ(α, x)<br />

. (C.6)<br />

Γ(α)<br />

(C.7)<br />

1<br />

t<br />

0<br />

α−1 (1 − t) β−1 dt (C.8)<br />

∞<br />

t<br />

0<br />

α−1<br />

.<br />

(1 + t) α+β<br />

(C.9)<br />

The integral in equation (C.8) is called Euler’s beta integral.<br />

Ix(α, β) The regularized incomplete beta function, which is the<br />

CDF <strong>of</strong> the beta distribution,<br />

Ix(α, β) =<br />

1<br />

B(α, β)<br />

C.3 Sets, Measure, and Probability<br />

x<br />

t<br />

0<br />

α−1 (1 − t) β−1 dt. (C.10)<br />

The notation listed below does not always represent the things associated<br />

with it here, but for these objects, I generally use either this notation or other<br />

symbols in the same font.<br />

Ω Sample space; the universal set in a given space or probability<br />

distribution.<br />

#A The cardinality <strong>of</strong> the set A.<br />

A c The complement <strong>of</strong> the set A; A c = Ω − A.<br />

A1 ∪ A2<br />

The union <strong>of</strong> the sets A1 and A2; x ∈ A1 ∪A2 iff x ∈ A1<br />

or x ∈ A2.<br />

<strong>Theory</strong> <strong>of</strong> <strong>Statistics</strong> c○2000–2013 James E. Gentle

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