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Stochastic optimization problems are the study of dynamical systems subject to random perturbations which can be controlled in order to optimize some performance criterion. The research on control theory has developed considerably over last few..

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Illustrations, examples and easy to understand presentations of statistical procedures and research methods have dealt with this book. Analysis of variance made easy through computer base statistical analysis. Descriptive statistics dealing with..

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Inbound call center problems need decisions in four main areas; the number of incoming calls, necessary number of agents to handle these calls, shift starting times for the operations and the number of agents to be allocated to each shift. Call..

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The exact distributions of multivariate statistics used for the inference in multivariate analysis are usually not known or quite difficult to handle. The topic of this book belongs to the area of approximation of unknown distributions through..

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In this work we extend the work done by Bob Coecke and Keye Martin in their paper "Partial Order on Classical States and Quantum States (2003)". We review basic notions involving elementary domain theory, the set of probability measures on a finite..

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The changes observed in the electricity markets over the past decade brought about developments in the field of electricity modelling. In this book, traditional ARIMA models and Wavelet-ARIMA models are applied to the Singapore electricity market,..

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In applied economics and science, the popularity of Laplace distribution as a probabilistic model has increased exponentially over the last decades. It had a long way from the first law for the error of measurement to one of the most used models for..

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The objective of this work is to study the behaviour of some queueing systems operating under the control limit policy (a,c,d) $. In a queueing system it may be possible to exercise control over the service mechanism, the service policy and such..

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Interacting particle systems are stochastic processes proposed by statistical mechanics for the movement of particles at the microscopic scale, with the aim to explain certain physical phenomena. The book discuses the continuum solid-on-solid model,..

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Availability of multiprocessor computers, allows us to solve many complex problems using Monte Carlo method. Monte Carlo methods have been further developed to solve a variety of multidimensional integrals, linear and nonlinear boundary value..

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