John Drew has edited and co-written a book on higher math.  This book is not for the feint of heart.

John describes his book this way...

'The general topic of computational probability encompasses data structures and algorithms that have emerged over the past decade which allow researchers and students to focus on a new class of stochastic problems.  The book Computational Probability is the first one that examines and presents these computational methods in a systematic manner.  The techniques described here address problems that require exact probability calculations, many of which have been considered intractable in the past.  The first chapter introduces computational probablility analysis, followed by a chapter on the Maple computer algebra system.  The third chapter begins the description of APPL, the probability modeling language created by the authors.  The book ends with three applications-based chapters that emphasize applications in survival analysis and stochastic simulation.

The algorithmic material associated with continuous random variables is presented separately from the material for discrete random variables.  Four sample algorithms, which are implemented in APPL, are presented in detail:  transformations of continuous random variables, products of independent continuous random variables, sums of independent discrete random variables, and order statistics drawn from discrete populations.'
Posted By: Administrator - 05-02-2011
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