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This appendix discusses a number of important distributions which have been found useful for describing random variables in inventory, reliability and queueing applications In particular, attention is paid to the practical problem of tting a tractable distribution to the rst two moments of a positive random variable The exponential distribution A positive random variable X is said to be exponentially distributed with parameter > 0 when it has the probability density f (t) = e t , t 0

Its mean and squared coef cient of variation are given by E(X) = 1

CON [dest #2]

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The exponential distribution is of extreme importance in applied probability The main reason for this is its memoryless property and its intimate relation with the Poisson process The memoryless property states that P {X > t + x | X > t} = e x , x 0,

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independently of t In other words, imagining that X represents the lifetime of an item, the residual life of the item has the same exponential distribution as the original lifetime, regardless of how long the item has already been in use The memoryless property is in agreement with the constant failure rate property of the exponential distribution The following well-known results for the exponential distribution are very useful If X1 and X2 are two independent random variables that are exponentially distributed with respective means 1/ 1 and 1/ 2 , then, for any t 0, P {min(X1 , X2 ) t} = 1 e ( 1 + 2 )t and P {X1 < X2 } = 1 1 + 2 (B1)

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In other words, the minimum of the two exponentially distributed lifetimes X1 and X2 is exponentially distributed with mean 1/( 1 + 2 ) and the probability that the lifetime X1 expires earlier than the lifetime X2 is 1 /( 1 + 2 ) Example B1 A rst-passage time problem An electronic system has two crucial components, 1 and 2, that operate independently of each other The lifetime of component i has an exponential distribution with mean 1/ i for i = 1, 2 If a component breaks down, it is replaced by a new one The time needed to replace component i by a new one is exponentially distributed with mean 1/ i for i = 1, 2 The system continues to operate as long as one of the components is functioning, but it fails when none of the two components works Both components are in perfect condition at time 0 What is the expected time until the rst system failure Let us say that the system is in state 1 (2) if only component 1 (2) is functioning and it is in state 3 when both components are functioning In view of the memoryless property of the exponential distribution, we can de ne the random variable Ti as the time until the rst system failure when the current state of the system is state i We wish to compute E(T3 ) To do so, we derive a system of linear equations in E(Ti ) for i = 1, 2, 3 By conditioning on the next state and using the results in (B1), it follows that E(T1 ) = 1 2 + E(T3 ), 1 + 2 1 + 2 E(T3 ) = E(T2 ) = 1 1 + E(T3 ), 2 + 1 2 + 1

Whatever aspirations Walgreen might have harbored at the time were interrupted in February 1898 when the USS Maine exploded in Havana Harbor To this day, no one knows how or why the ship blew up, but that didn t stop the United States from declaring war on Spain on April 25, 1898 Walgreen signed up with the Illinois National Guard the next day, happily informing Mr Valentine that he was giving up the drug business for the army so he would have shorter hours and could sleep later in the morning, Myrtle recalled46 It didn t quite work out that way, of course Walgreen might have been a bit apathetic about the daily grind, but he was a passionate patriot, convinced that a man should contribute to his country s well-being in every way he could, Myrtle wrote47 When Walgreen s company commander asked him to take a day trip across the island of Cuba to map enemy positions, Walgreen hopped right to it What might have been a tedioius task turned into a breezy exercise when he came across an officer in another unit who had already created detailed maps of the Spanish forces and invited Walgreen to copy them So, while Teddy Roosevelt was leading the Rough Riders up San Juan Hill, Walgreen calmly traced his new friend s maps and then spent the afternoon swapping stories and smoking fresh Cuban cigars all to make

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