Overview of basic concepts in Statistics and Probability - SAMSI
Overview of basic concepts in Statistics and Probability - SAMSI
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}