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Overview of basic concepts in Statistics and Probability - SAMSI

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Exponential r<strong>and</strong>om variables<br />

<strong>Overview</strong> <strong>of</strong><br />

<strong>basic</strong> <strong>concepts</strong><br />

<strong>in</strong> <strong>Statistics</strong><br />

<strong>and</strong><br />

<strong>Probability</strong><br />

Avanti<br />

Athreya<br />

Prelim<strong>in</strong>aries<br />

Important<br />

distributions,<br />

scal<strong>in</strong>g laws,<br />

<strong>and</strong> the CLT<br />

Parametric<br />

estimation <strong>and</strong><br />

hypothesis<br />

test<strong>in</strong>g<br />

A r<strong>and</strong>om variable X is called exponential with parameter λ<br />

(λ > 0) if<br />

P{X > x} = exp(−λx) for all x > 0<br />

Equivalently, an exponential r<strong>and</strong>om variable has density<br />

f (x) = λexp(−λx) for x > 0,<strong>and</strong> 0 elsewhere<br />

Exponential variables have the memoryless property:<br />

P{X > s+t|X > s} =<br />

exp(−λ(s + t))<br />

exp(−λs)<br />

= exp(−λt) = P{X > t}

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