Mathematical techniques of applied probability
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Mathematical techniques of applied probability by Jeffrey J. Hunter

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Published by Academic press in New York .
Written in English


Book details:

Edition Notes

StatementJeffrey J. Hunter. Vol.1, Discrete time models : basic theory.
SeriesOperations research and industrial engineering
ID Numbers
Open LibraryOL13955223M

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  Mathematical Techniques of Applied Probability, Volume 1: Discrete Time Models: Basic Theory provides information pertinent to the basic theory of discrete time models. This book introduces the tools of generating functions and matrix Book Edition: 1. Additional Physical Format: Online version: Hunter, Jeffrey J. Mathematical techniques of applied probability. New York: Academic Press, (OCoLC) Mathematical Techniques of Applied Probability: Discrete Time Models; Techniques and Applications by Jeffrey J. Hunter (Author) ISBN ISBN Why is ISBN important? ISBN. This bar-code number lets you verify that you're getting exactly the right version or edition of a book. Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. It can serve as a textbook for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics, and statistics.

Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. It can serve as a textbook for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics, and : Springer-Verlag New York. Get this from a library! Mathematical Techniques of Applied Probability. Volume 1, Discrete Time Models: Basic Theory.. [Jeffrey J Hunter; J William Schmidt] -- Mathematical Techniques of Applied Probability. An important resource that provides an overview of mathematical modelling Mathematical Modelling offers a comprehensive guide to both analytical and computational aspects of mathematical modelling that encompasses a wide range of subjects. The authors provide an overview of the basic concepts of mathematical modelling and review the relevant topics from . Derivations of Applied Mathematics is a book of applied mathematical proofs. This book covers the following topics in applied mathematics: Classical algebra and geometry, Trigonometry, derivative, The complex exponential, Primes, roots and averages, Taylor series, Integration techniques, Matrices and vectors, Transforms and special functions.

Description. Mathematical Techniques provides a complete course in mathematics, covering all the essential topics with which a physical sciences or engineering student should be familiar. It introduces and builds on concepts in a progressive, carefully-layered way, and features over end of chapter problems, plus additional self-check questions. The subject of the book is the "know-how" of applied mathematical modelling: how to construct specific models and adjust them to a new engineering environment or more precise realistic assumptions; how to analyze models for the purpose of investigating real life phenomena; and how the models can extend our knowledge about a specific engineering process. "Engaging, elegantly written." — Applied Mathematical Modelling. A distinguished theoretical chemist and engineer discusses the types of models — finite, statistical, stochastic, and more — as well as how to formulate and manipulate them for best results. Filled with numerous examples, the book includes three appendices offering further examples treated in more detail. Mathematical Techniques. An Introduction for the Engineering, Physical, and Mathematical Sciences. Fourth Edition. Dominic Jordan and Peter Smith. Publication Date - May ISBN: 1, pages Paperback In Stock. Retail Price to Students: $