Glen, A. G., and L. M. Leemis. 1999. APPL: A Probability Programming Language. Technical report, Mathematics Department, The College of William & Mary.  Home/Search   Document Details and Download   Summary   Related Articles

....for the unknown parameters can be found in a similar manner to the service time example. 4 SOFTWARE The typical input modeling software is capable of fitting several distributions to a data set and evaluating goodness of fit. A symbolic, Maple based probability package named APPL, developed by Glen and Leemis (1999), is briefly illustrated here to show the modeling flexibility gained by using a computer algebra system. The package allows a user to define and manipulate random variables, as opposed to numerical procedures applied to data. The package allows a user to calculate expected values, distributions ....

Glen, A. G., and L. M. Leemis. 1999. APPL: A Probability Programming Language. Technical report, Mathematics Department, The College of William & Mary.

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