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where a2 = (6m2 3m2 )/( 3 m2 m1 m3 ) and a1 = (1 + 1 m2 a2 )/m1 The require1 2 2 2 ment m1 m3 3 m2 holds for both a gamma distributed and a lognormal distributed 2 2 2 random variable X with cX > 1 Coxian-2 distribution The hyperexponential density requires that the weights p1 and p2 are non-negative However, in order that p1 1 exp( 1 t) + p2 2 exp( 2 t) represents a probability density, it is not necessary to require that p1 and p2 are both non-negative The class of H2 distributions can be shown to be a subclass of the class of so-called Coxian-2 (C2 ) distributions A random variable X is said to be Coxian-2 distributed if X can be represented as X= X1 + X2 X1 with probability b, with probability 1 b,

where X1 and X2 are independent random variables having exponential distributions with respective means 1/ 1 and 1/ 2 In words, the lifetime X rst goes through an exponential phase X1 and then through a second exponential phase X2 with probability b or it goes out with probability 1 b; see Figure B2 It can be assumed without loss of generality that 1 2

exp(m1)

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It used to be said that behind every great man you ll find a great woman Myrtle Walgreen was in many ways a traditional wife, with little ego to speak of; but no one who knew her would ever say she merely stood behind her husband Without her support, Walgreen himself would not have dared to be so ambitious; and without her direct contributions including baking the pies and making the soups and sandwiches that opened the food service division and fueled the chain s early expansion the Walgreens chain never would have become the business empire it is today The first key to our success, said former CEO Dan Jorndt, was Mr Walgreen Sr hitching up with Myrtle It s amazing what a team they were Everyone says he was successful; but really, it s that they were successful She was a Rock of Gibraltar and backed him up any way she could He never had to check to see if she was with him, and vice versa 52 Myrtle was her husband s equal, and no one knew this better than Walgreen himself It makes sense that the two got along so well from the start, given their similar backgrounds Both were raised on Illinois farms by no-nonsense parents who nonetheless weren t afraid to roll the dice and very much valued having fun Myrtle wrote of her husband, He had a happy home, too, just as I did 53 She was born Myrtle Norton on July 5, 1879, to a resilient mother and

exp(m2)

A Coxian-2 distribution having parameters (b, 1 , 2 ) with 1 < 2 can be shown to have the same probability density as the Coxian-2 distribution having parameters (b , , ) with = 2 , = 1 and b = 1 (1 b) 1 / 2 Assuming that 1 2 1 2 1 2 , the Coxian-2 distributed random variable X has the density f (t) = p1 1 e 1 t + (1 p1 ) 2 e 2 t p1 1 e 1 t + (1 p1 ) 2 te 1 t 1 if 1 = 2 , if 1 = 2 ,

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where p1 = 1 b 1 /( 1 2 ) if 1 = 2 and p1 = 1 b if 1 = 2 Thus the class of H2 densities is contained in the class of Coxian-2 densities Note that the H2 distribution allows for two different but equivalent probabilistic interpretations The H2 distribution can be interpreted in terms of exponential phases in parallel and in terms of exponential phases in series The density of a Coxian-2 distributed random variable X always has a unimodal shape Moreover, it holds that 1 2 cX , 2

2 where cX 1 only if the density has the form p1 1 exp( 1 t) + p2 2 exp( 2 t) for non-negative p1 and p2 The Coxian-2 density has three parameters (b, 1 , 2 ) Hence an in nite number of Coxian-2 densities can in principle be used for a two2 moment t to a random variable X with cX > 1 (the E2 density is the only possible 2 2 = 1 ) A particularly useful choice for a two-moment match is the choice when cX 2 Coxian-2 density with parameters

2 1 = 1+ E(X)

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