(New page: X~Exp(1) f<sub>X</sub>(x)= k*e^(-k*x) Pr[X>x]= 1-F<sub>X</sub> (x)= e^(-k*x) say we know X>t What is Pr[X>x+t|X>t] We think it is Pr[X>x] Pr[X>x+t|X>t] = Pr[{X>t} {X>x+t}] / Pr[X>t] ...)
 
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We think it is Pr[X>x]
 
We think it is Pr[X>x]
  
Pr[X>x+t|X>t] = Pr[{X>t} {X>x+t}] / Pr[X>t] = Pr[X>x+t] / Pr[X>t] = e^(-k*(x+t)) / e^(-k*t) = e(-k*t) = Pr[X>x]
+
Pr[X>x+t|X>t] = Pr[{X>t} <math> \cap </math> {X>x+t}] / Pr[X>t] = Pr[X>x+t] / Pr[X>t] = e^(-k*(x+t)) / e^(-k*t) = e(-k*t) = Pr[X>x]

Revision as of 05:03, 15 October 2008

X~Exp(1)

fX(x)= k*e^(-k*x)

Pr[X>x]= 1-FX (x)= e^(-k*x)

say we know X>t

What is Pr[X>x+t|X>t]

We think it is Pr[X>x]

Pr[X>x+t|X>t] = Pr[{X>t} $ \cap $ {X>x+t}] / Pr[X>t] = Pr[X>x+t] / Pr[X>t] = e^(-k*(x+t)) / e^(-k*t) = e(-k*t) = Pr[X>x]

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood