Discrete choice probability equation help (in pre-algebraic terms please)?

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SUMMARY

The discussion centers on the discrete choice probability equation, specifically P = Prob(Person n chooses Alternative i) = G(xni, xnj(forall j inequal to i), sn, β). The variables include xni, a vector of attributes for alternative i, and sn, a vector of characteristics for person n. The function G represents a probability distribution function, such as normal or logistic. The equation illustrates how the probability of choice is influenced by the attributes of alternatives and individual characteristics, with β as the set of parameters estimated statistically.

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moonman239
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As it says in the title, will anyone please give me the equation (in pre-algebraic terms) for discrete choice probability? I can see that the equation is P = Prob( Person n chooses Alternative i ) = G(xni, xnj(forall j inequal to i), sn, β),

where

xni is a vector of attributes of alternative i faced by person n,

"forall j inequal to i" is a vector of attributes of the other alternatives (other than i) faced by person n,

sn is a vector of characteristics of person n, and

β is a set of parameters that relate variables to probabilities, which are estimated statistically.

(I'm totally copying this off Wikipedia.) I'm baffled. What is G()?
 
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G is a probability distribution function such as normal or logistic. See http://en.wikipedia.org/wiki/Discrete_choice#Consumer_Utility for an example from consumer utility. If [itex]\epsilon[/itex] is normally distributed, so is [itex]\epsilon_{nj}-\epsilon_{ni}[/itex] and therefore

[tex]P_{ni}=Prob\left\{\epsilon_{nj}-\epsilon_{ni} < \beta z_{ni}-\beta z_{nj}\right\} = G\left(\beta z_{ni}-\beta z_{nj}\right)[/tex]

where G is the normal c.d.f.
 

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