Probability and Statistics for Computer Science

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9780470383421: Probability and Statistics for Computer Science
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Comprehensive and thorough development of both probability andstatistics for serious computer scientists; goal-oriented: "topresent the mathematical analysis underlying probabilityresults"
Special emphases on simulation and discrete decision theory
Mathematically-rich, but self-contained text, at a gentlepace
Review of calculus and linear algebra in an appendix
Mathematical interludes (in each chapter) which examinemathematical techniques in the context of probabilistic orstatistical importance
Numerous section exercises, summaries, historical notes, andFurther Readings for reinforcement of content

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A unique probability guide for computer science

While many computer science curricula include only anintroductory course on general probability, there is a recognizedneed for further study of this mathematical discipline within thespecific context of computer science. Probability and Statisticsfor Computer Science develops introductory topics inprobability with this particular emphasis, providing computerscience students with an invaluable resource in their continuedstudies and professional research.

James Johnson's text begins with the basic definitions ofprobability distributions and random variables and then elaboratestheir properties and applications. Probability and Statisticsfor Computer Science treats the most common discrete andcontinuous distributions, showing how they find use in decision andestimation problems, and constructs computer algorithms forgenerating observations from the various distributions. Thisone-of-a-kind resource also:

  • Includes a thorough and rigorous development of all thenecessary supporting mathematics

  • Provides an opportunity to reconnect applications with thetheoretical concepts of distributions introduced in prerequisitecourses

  • Gathers supporting topics in an appendix: set theory, limitprocesses, real number structure, Riemann-Stieltjes integrals,matrix transformation, and determinants

  • Uses computer science examples such as client-server performanceevaluation and image processing

The author also addresses a variety of supporting topics, suchas estimation arguments with limits, properties of power series,and Markov processes. Johnson's text proves an ideal resource forcomputer science students and practitioners interested in aprobability study specific to their field.

About the Author:

James L. Johnson holds a PhD in mathematics from the University of Minnesota and has twenty-five years' experience in academic and industrial computer science. He is currently Professor of Computer Science at Western Washington University. He is also the author of Database: Models, Languages, Design.

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Other Popular Editions of the Same Title

9780471326724: Probability and Statistics for Computer Science

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ISBN 10:  0471326720 ISBN 13:  9780471326724
Publisher: Wiley-Interscience, 2003
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9789812531117: Probability and Statistics for Computer Science

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Book Description John Wiley and Sons Ltd, United States, 2008. Paperback. Condition: New. Language: English. Brand new Book. Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results" Special emphases on simulation and discrete decision theory Mathematically-rich, but self-contained text, at a gentle pace Review of calculus and linear algebra in an appendix Mathematical interludes (in each chapter) which examine mathematical techniques in the context of probabilistic or statistical importance Numerous section exercises, summaries, historical notes, and Further Readings for reinforcement of content. Seller Inventory # AAH9780470383421

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Book Description John Wiley and Sons Ltd, United States, 2008. Paperback. Condition: New. Language: English. Brand new Book. Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results" Special emphases on simulation and discrete decision theory Mathematically-rich, but self-contained text, at a gentle pace Review of calculus and linear algebra in an appendix Mathematical interludes (in each chapter) which examine mathematical techniques in the context of probabilistic or statistical importance Numerous section exercises, summaries, historical notes, and Further Readings for reinforcement of content. Seller Inventory # AAH9780470383421

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Book Description John Wiley and Sons Ltd, United States, 2008. Paperback. Condition: New. Language: English. Brand new Book. Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results" Special emphases on simulation and discrete decision theory Mathematically-rich, but self-contained text, at a gentle pace Review of calculus and linear algebra in an appendix Mathematical interludes (in each chapter) which examine mathematical techniques in the context of probabilistic or statistical importance Numerous section exercises, summaries, historical notes, and Further Readings for reinforcement of content. Seller Inventory # LIE9780470383421

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