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Non-uniform random variate generation is an established research
area in the intersection of mathematics, statistics and computer
science. Although random variate generation with popular standard
distributions have become part of every course on discrete event
simulation and on Monte Carlo methods, the recent concept of
universal (also called automatic or black-box) random variate
generation can only be found dispersed in literature. This new
concept has great practical advantages that are little known to
most simulation practitioners. Being unique in its overall
organization the book covers not only the mathematical and
statistical theory, but also deals with the implementation of such
methods. All algorithms introduced in the book are designed for
practical use in simulation and have been coded and made available
by the authors. Examples of possible applications of the presented
algorithms (including option pricing, VaR and Bayesian statistics)
are presented at the end of the book.
Non-uniform random variate generation is an established research
area in the intersection of mathematics, statistics and computer
science. Although random variate generation with popular standard
distributions have become part of every course on discrete event
simulation and on Monte Carlo methods, the recent concept of
universal (also called automatic or black-box) random variate
generation can only be found dispersed in literature. This new
concept has great practical advantages that are little known to
most simulation practitioners. Being unique in its overall
organization the book covers not only the mathematical and
statistical theory, but also deals with the implementation of such
methods. All algorithms introduced in the book are designed for
practical use in simulation and have been coded and made available
by the authors. Examples of possible applications of the presented
algorithms (including option pricing, VaR and Bayesian statistics)
are presented at the end of the book.
The aim of this work is to determine the best values of total
printing volume of magazines and the amounts that are sent to sales
points, through forecasting and determination of optimum service
level to be provided. The first part of the book deals with
forecasting the sales endpoint demands for the future issue.
Especially, the handling of the censored demand in case of sellout
is analyzed. Also, studies are carried out for nding the optimum
parameters of the forecasting method. The two main strategies used
for planning are mentioned: top-down and bottom-up. The top-down
approach rst determines the printing volume and distributes it to
the endpoints. In the second part, three alternative ways of
applying the top-down approach are discussed. The third part
presents the existing bottom-up optimization approach that is valid
under the assumption of normal probability demand distribution. It
then deduces formulas for finding return and lost sales that would
occur. Then, a simulation based approach is described that nds
these performance measures, under any demand distribution
assumption. In the end, a computer based illustration of these
methods is given.
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