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so he d be able to make his monthly payments from the proceeds once he took over Once again, Walgreen s strategy worked too well As Walgreen s extra efforts began to produce extra revenue, Blood realized the store had more potential than he had at first thought In 1901, when Walgreen s tireless efforts raised just enough capital to buy the store, Blood informed him the price had just gone up to $6,000 50 percent more than it was when Walgreen asked just two years earlier Walgreen was floored, but he became even more determined to see it through Paradoxically, Blood s hard-to-get strategy might have been just the thing to stir Walgreen to commit fully to becoming a drugstore owner He decided to drain his life savings; borrow an additional $2,000 from his father, who had been doing well in the growing Dixon real estate market; and signed a note for the remainder The name Blood-Walgreen would appear in the directory until he had paid off the loan Walgreen was in deep he knew he would not be getting out of debt any time soon But by buying the modest store at 4134 Cottage Grove Avenue, he had something he valued more than anything, something he d never had before: his independence He had become his own boss and was finally in business for himself The neat, gold-lettered sign above the door said it all: C R Walgreen, RPh Thus, 2 years before the Wright Brothers launched their biplane at Kitty Hawk, North Carolina, Henry Ford started his automobile company, and the National League played the upstart American League in the first World s Championship Series; 4 years before Albert Einstein formulated the theory of relativity; 5 years before Willis Carrier invented airconditioning; 6 years before Leo Hendrik Baekeland invented plastic; 51 years before Sam Walton opened his first Wal-Mart; 54 years before Ray Kroc opened his first McDonald s; and 61 years before Sebastian S Kresge opened his first Kmart before all these events, Charles R Walgreen Sr opened his first pharmacy No, Walgreen s first store didn t provide customers self-service, drivethru photo processing, or the Intercom computer system He couldn t offer.

the associated E1,k distribution ts the rst two moments of a positive random variable X provided that k2 + 4 1 2 cX k 4k

2 2 Hence the E1,k distribution can also achieve values of cX with cX > 1 For use in applications the Ek 1,k density is generally better suited than the E1,k density since the Ek 1,k density is always unimodal and has a shape similar to the frequently occurring gamma density The E1,k density may be useful in sensitivity analysis For both theoretical and practical purposes it is often easier to work with mixtures of Erlangian distributions than with gamma distributions, since mixtures of Erlangian distributions with the same scale parameters allow for the probabilistic interpretation that they represent a random sum of independent exponentials with the same means

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Hyperexponential distribution A commonly used representation of a positive random variable with a coef cient of variation greater than 1 is a mixture of two exponentials with different means The distribution of such a mixture is called a hyperexponential distribution of order 2, an H2 distribution The density of the H2 distribution has the form f (t) = p1 1 e 1 t + p2 2 e 2 t , t 0,

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where 0 p1 , p2 1 Note that always p1 + p2 = 1, since the density f (t) represents a probability mass of 1 In words, a random variable having the H2 density is distributed with probability p1 (p2 ) as an exponential variable with mean

1/ 1 (1/ 2 ) The hyperexponential density always has a coef cient of variation of at least 1 and is unimodal with a maximum at t = 0 The failure rate function of the hyperexponential distribution is decreasing The H2 density has three parameters and is therefore not uniquely determined by its rst two moments For a two-moment t, the H2 density with balanced means is often used; that is, the normalization p1 / 1 = p2 / 2 is used The parameters of the H2 density having balanced means and tting the rst two moments of a positive random variable X 2 with cX 1 are p1 = 1 1+ 2

p2 = 1 p1 ,

1 =

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