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Stochastic processes

Most popular at the top

  • Topics in Stochastic Processesby Robert B. Ash; Melvin F. Gardner; Z. W. Birnbaum; E. Lukacs

    Elsevier Science 2014; US$ 72.95

    Topics in Stochastic Processes covers specific processes that have a definite physical interpretation and that explicit numerical results can be obtained. This book contains five chapters and begins with the L2 stochastic processes and the concept of prediction theory. The next chapter discusses the principles of ergodic theorem to real analysis,... more...

  • Stochastic Convergenceby Eugene Lukacs; Z. W. Birnbaum; E. Lukacs

    Elsevier Science 2014; US$ 72.95

    Stochastic Convergence, Second Edition covers the theoretical aspects of random power series dealing with convergence problems. This edition contains eight chapters and starts with an introduction to the basic concepts of stochastic convergence. The succeeding chapters deal with infinite sequences of random variables and their convergences, as well... more...

  • An Introduction to Stochastic Modelingby Howard M. Taylor; Samuel Karlin

    Elsevier Science 2014; US$ 93.95

    An Introduction to Stochastic Modeling, Revised Edition provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which... more...

  • Statistical Inference and Related Topicsby Madan Lal Puri

    Elsevier Science 2014; US$ 72.95

    Statistical Inference and Related Topics, Volume 2 presents the proceedings of the Summer Research Institute on Statistical Inference for Stochastic Processes, held in Bloomingdale, Indiana on July 31 to August 9, 1975. This book focuses on the theory of statistical inference for stochastic processes. Organized into 15 chapters, this volume begins... more...

  • Applied Stochastic Processesby G. Adomian

    Elsevier Science 2014; US$ 72.95

    Applied Stochastic Processes is a collection of papers dealing with stochastic processes, stochastic equations, and their applications in many fields of science. One paper discusses stochastic systems involving randomness in the system itself that can be a large dynamical multi-input, multi-output system. Examples of a large system are the national... more...

  • An Introduction to Stochastic Modelingby Howard M. Taylor; Samuel Karlin

    Elsevier Science 2014; US$ 72.95

    An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set... more...

  • A First Course in Stochastic Processesby Samuel Karlin

    Elsevier Science 2014; US$ 93.95

    A First Course in Stochastic Processes focuses on several principal areas of stochastic processes and the diversity of applications of stochastic processes, including Markov chains, Brownian motion, and Poisson processes. The publication first takes a look at the elements of stochastic processes, Markov chains, and the basic limit theorem of Markov... more...

  • A First Course in Stochastic Modelsby Henk C. Tijms

    Wiley 2003; US$ 86.00

    The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing... more...

  • Modeling Uncertaintyby Moshe Dror; Pierre L'Ecuyer; Ferenc Szidarovszky

    Springer 2002; US$ 409.00

    Writing in honour of Sid Yakowitz, 50 internationally known scholars have collectively contributed 30 papers on modelling uncertainty to this volume. These include papers with a theoretical emphasis and others that focus on applications. more...

  • Gaussian Markov Random Fieldsby Havard Rue; Leonhard Held

    CRC Press 2005; US$ 125.95

    Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works are available. This is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. This book includes extensive case-studies... more...