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Friday, April 17, 2020 | History

11 edition of Simulation: statistical foundations and methodology found in the catalog.

Simulation: statistical foundations and methodology

  • 335 Want to read
  • 33 Currently reading

Published by Academic Press in New York .
Written in English

    Subjects:
  • Simulation methods,
  • Stochastic processes

  • Edition Notes

    Bibliography: p. 513-520.

    Statement[by] G. Arthur Mihram.
    SeriesMathematics in science and engineering,, v. 92
    Classifications
    LC ClassificationsTA343 .M53
    The Physical Object
    Paginationxv, 526 p.
    Number of Pages526
    ID Numbers
    Open LibraryOL5317996M
    ISBN 100124959504
    LC Control Number72159609

    He is the author (or coauthor) of four books and numerous papers on simulation, manufacturing, operations research, and statistics. His article, "Statistical Analysis of Simulation Output Data," was the first invited feature paper on simulation to appear in a major research journal. He won the Get this from a library! Monte Carlo simulation in statistical physics: an introduction. [K Binder; Dieter W Heermann] -- "Monte Carlo Simulation in Statistical Physics deals with the computer simulation of many-body systems in condensed-matter physics and related fields of .


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Simulation: statistical foundations and methodology by G. Arthur Mihram Download PDF EPUB FB2

Simulation statistical foundations and methodology (Mathematics in science and engineering) Hardcover – January 1, by G.

Arthur Mihram (Author)Author: G. Arthur Mihram. Simulation - Statistical Foundations and Methodology [G. Arthur Mihram] on *FREE* shipping on qualifying offers.

Journals & Books; Register Sign in. Sign in Register. Journals & Books Search in this book series. Simulation Statistical Foundations and Methodology. Edited by G. Arthur Mihram. Vol Pages iii-xv, () Download full volume.

Previous volume. Next volume. select article Chapter 10 The Simulation as a Stochastic Process. Get this from a library. Simulation: statistical foundations and methodology. [G Arthur Mihram] -- In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems.

A number of computing techniques are considered, such as methods of. Simulation: statistical foundations and methodology. New York, Academic Press, (OCoLC) Document Type: Book: All Authors / Contributors: G Arthur Mihram.

The book emphasizes essential foundations throughout, rather than providing a compendium of algorithms and theorems and prepares the reader to use simulation in research as well as practice. The book is a rigorous, but concise treatment, emphasizing lasting principles but also providing specific training in modeling, programming and analysis.

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The book is a rigorous but concise treatment, emphasizing lasting principles, but also providing specific training in modeling, programming and analysis. This graduate-level text covers modeling, programming and analysis of simulation experiments and provides a rigorous treatment of the foundations of simulation and why it works.

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Schon (Author)Cited by: Get this from a library. Simulation: statistical foundations and methodology. [G Arthur Mihram]. Simulation studies are computer experiments that involve creating data by pseudo‐random sampling.

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This book addresses the problem of superficial idesanon-mathematical, simulation-based introduction to basic statistical concepts, and encourages the reader to try out the simulations themselves using the code provided. Since the exercises provided in the text.

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Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer simulation theories presented in this text deal with systems that are too complex to solve analytically.

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The rst chapter is a short introduction to statistics and probability. Stu. - Statistical Methods and Data Analysis This course introduces statistical methods that are widely used in modern applications.

A balance is struck between the presentation of the mathematical foundations of concepts in probability and statistics and their appropriate use. Simulation and the Monte Carlo Method, Third Edition is an excellent text for upper-undergraduate and beginning graduate courses in stochastic simulation and Monte Carlo techniques.

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As a result, the book is a self-contained and rigorous study of the numerical methods within a theoretical framework. After briefly reviewing the basics, the authors first introduce fundamental notions in stochastic calculus and continuous-time martingale theory, then develop the analysis of pure-jump Markov processes, Poisson processes, and.

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but it can also be used as a textbook for a first course on statistics. Earlier versions of the book have been used in undergraduate and graduate courses in Europe and the US. ”Vasishth and Broe have written an attractive introduction to the foundations of statistics.

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Statistical Mechanics - Duration: Stanfordviews. Virtual Simulation. Background. Geostatistics is intimately related to interpolation methods, but extends far beyond simple interpolation problems.

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In many introductory level courses today, teachers are challenged with the task of fitting in all of the core concepts of the course in a limited period of time. The Introductory Statistics teacher is no stranger to this challenge. To add to the difficulty, many textbooks contain an overabundance of material, which not only results in the need for further streamlining, but also in intimidated 4/5(8).

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