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Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and... Read More >>
This compact, self-contained introduction to the theory and application of Bayesian statistical methods is accessible... Read More >>
Therandom-clustermodelwasinventedbyCees[Kees]FortuinandPietKasteleyn around 1969 as a uni?cation of percolation,... Read More >>
It was generally believed that the study of probability theory was started by Pascal and Fermat in 1654 when they... Read More >>
problems of a finding optimal САС in models are investigated and various problems of improvement of characteristics... Read More >>
By carefully studying a randomly varying system over a small time interval, a discrete stochastic process model... Read More >>
Updated and revised, this new edition of Quantitative Sociodynamics presents a general strategy for interdisciplinary... Read More >>
However, a vacation queueing model has an additional part - the vacation process which is governed by a vacation... Read More >>
This book is a reference collection of modern Bayesian methods in reliability for use by reliability practitioners.... Read More >>
The book is devoted to the study of important classes of stochastic processes: discrete and continuous time Markov... Read More >>
Authored by two of the field's most prominent researchers, this new edition has been comprehensively updated, with... Read More >>
Provides a comprehensive account of two topics that are of particular significance in both theoretical and applied... Read More >>
The reasons for bypassing a Text portion of the text include: the subject is a special topic that will not be referenced... Read More >>