2.15. a) Prove that if YE(A), then for all t and s, P{Y>t+sY>t} = P{Y > s}. (2.16) b) Prove that if Y is absolutely continuous, positive and satisfies (2.16), then Y has an exponential distribution. [Hint: Prove that the survivor function Sy(t) = P{Y> t} fulfills the func- tional equation Sy(t + 8) = Sy(t) Sy(s) for s,t> 0.]
2.15. a) Prove that if YE(A), then for all t and s, P{Y>t+sY>t} = P{Y > s}. (2.16) b) Prove that if Y is absolutely continuous, positive and satisfies (2.16), then Y has an exponential distribution. [Hint: Prove that the survivor function Sy(t) = P{Y> t} fulfills the func- tional equation Sy(t + 8) = Sy(t) Sy(s) for s,t> 0.]
Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
Problem 56SE: Recall that the general form of a logistic equation for a population is given by P(t)=c1+aebt , such...
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