Probability with R: An Introduction with Computer Science Applications

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9780470280737: Probability with R: An Introduction with Computer Science Applications

Book by Horgan Jane

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Críticas:

“Probability with R: An Introduction with Computer Science Applications addresses an important niche by concurrently providing an introduction to probability for students who have had only the most rudimentary calculus training, and an introduction to the freely available software R for students with no programming experience." (Journal of Classification, 2010) "For the audience this book is intended, the book is the best lecture notes a teacher can give to students and to anybody wishing to self-teach themselves, with that caveat." (Journal of Statistical Software, Jan 2009) "This is a wonderful text for beginners to learn probability. Reading it is a joy. Although the book is oriented towards CS majors, I believe that students in other fields can also benefit from it." (Computing Reviews, Jan 2009) "..a great quality of this book is that it could be used by anybody with a reasonable level of education to self-teach themselves probability and its applications... It is more user-friendly than the R manuals and, because the code is used within the examples, it teaches R for probability much more effectively." (Journal of Statistical Software, 2008)

Reseña del editor:

A Complete Introduction to probability AND its computer Science Applications USING R Probability with R serves as a comprehensive and introductory book on probability with an emphasis on computing-related applications. Real examples show how probability can be used in practical situations, and the freely available and downloadable statistical programming language R illustrates and clarifies the book's main principles. Promoting a simulation- and experimentation-driven methodology, this book highlights the relationship between probability and computing in five distinctive parts:* The R Language presents the essentials of the R language, including key procedures for summarizing and building graphical displays of statistical data.* Fundamentals of Probability provides the foundations of the basic concepts of probability and moves into applications in computing. Topical coverage includes conditional probability, Bayes' theorem, system reliability, and the development of the main laws and properties of probability.* Discrete Distributions addresses discrete random variables and their density and distribution functions as well as the properties of expectation. The geometric, binomial, hypergeometric, and Poisson distributions are also discussed and used to develop sampling inspection schemes.* Continuous Distributions introduces continuous variables by examining the waiting time between Poisson occurrences. The exponential distribution and its applications to reliability are investigated, and the Markov property is illustrated via simulation in R. The normal distribution is examined and applied to statistical process control.* Tailing Off delves into the use of Markov and Chebyshev inequalities as tools for estimating tail probabilities with limited information on the random variable. Numerous exercises and projects are provided in each chapter, many of which require the use of R to perform routine calculations and conduct experiments with simulated data. The author directs readers to the appropriate Web-based resources for installing the R software package and also supplies the essential commands for working in the R workspace. A related Web site features an active appendix as well as a forum for readers to share findings, thoughts, and ideas. With its accessible and hands-on approach, Probability with R is an ideal book for a first course in probability at the upper-undergraduate and graduate levels for readers with a background in computer science, engineering, and the general sciences. It also serves as a valuable reference for computing professionals who would like to further understand the relevance of probability in their areas of practice.

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Jane Horgan (Dublin City Univ., Dublin, Ireland )
Editorial: John Wiley and Sons
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Descripción John Wiley and Sons. Estado de conservación: New. Brand New. Nº de ref. de la librería 0470280735

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Horgan, Jane
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Descripción Somerset, New Jersey, U.S.A.: John Wiley & Sons Inc, 2008. Hardcover. Estado de conservación: New. Ship out 1-2 business day,Brand new,US edition, Free tracking number usually 2-4 biz days delivery to worldwide Same shipping fee with US, Canada,Europe country, Australia, , item will ship out from either LA or Asia,t. Nº de ref. de la librería ABE-5293120087

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Descripción 2008. HRD. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. Nº de ref. de la librería KB-9780470280737

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Descripción John Wiley and Sons Ltd, United States, 2009. Hardback. Estado de conservación: New. New. 236 x 158 mm. Language: English . Brand New Book. A Complete Introduction to probability AND its computer Science Applications USING R Probability with R serves as a comprehensive and introductory book on probability with an emphasis on computing-related applications. Real examples show how probability can be used in practical situations, and the freely available and downloadable statistical programming language R illustrates and clarifies the book s main principles. Promoting a simulation- and experimentation-driven methodology, this book highlights the relationship between probability and computing in five distinctive parts:* The R Language presents the essentials of the R language, including key procedures for summarizing and building graphical displays of statistical data.* Fundamentals of Probability provides the foundations of the basic concepts of probability and moves into applications in computing. Topical coverage includes conditional probability, Bayes theorem, system reliability, and the development of the main laws and properties of probability.* Discrete Distributions addresses discrete random variables and their density and distribution functions as well as the properties of expectation. The geometric, binomial, hypergeometric, and Poisson distributions are also discussed and used to develop sampling inspection schemes.* Continuous Distributions introduces continuous variables by examining the waiting time between Poisson occurrences. The exponential distribution and its applications to reliability are investigated, and the Markov property is illustrated via simulation in R. The normal distribution is examined and applied to statistical process control.* Tailing Off delves into the use of Markov and Chebyshev inequalities as tools for estimating tail probabilities with limited information on the random variable. Numerous exercises and projects are provided in each chapter, many of which require the use of R to perform routine calculations and conduct experiments with simulated data. The author directs readers to the appropriate Web-based resources for installing the R software package and also supplies the essential commands for working in the R workspace. A related Web site features an active appendix as well as a forum for readers to share findings, thoughts, and ideas. With its accessible and hands-on approach, Probability with R is an ideal book for a first course in probability at the upper-undergraduate and graduate levels for readers with a background in computer science, engineering, and the general sciences. It also serves as a valuable reference for computing professionals who would like to further understand the relevance of probability in their areas of practice. Nº de ref. de la librería AAS9780470280737

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Jane Horgan
Editorial: John Wiley and Sons Ltd, United States (2009)
ISBN 10: 0470280735 ISBN 13: 9780470280737
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Descripción John Wiley and Sons Ltd, United States, 2009. Hardback. Estado de conservación: New. New. 236 x 158 mm. Language: English . Brand New Book. A Complete Introduction to probability AND its computer Science Applications USING R Probability with R serves as a comprehensive and introductory book on probability with an emphasis on computing-related applications. Real examples show how probability can be used in practical situations, and the freely available and downloadable statistical programming language R illustrates and clarifies the book s main principles. Promoting a simulation- and experimentation-driven methodology, this book highlights the relationship between probability and computing in five distinctive parts:* The R Language presents the essentials of the R language, including key procedures for summarizing and building graphical displays of statistical data.* Fundamentals of Probability provides the foundations of the basic concepts of probability and moves into applications in computing. Topical coverage includes conditional probability, Bayes theorem, system reliability, and the development of the main laws and properties of probability.* Discrete Distributions addresses discrete random variables and their density and distribution functions as well as the properties of expectation. The geometric, binomial, hypergeometric, and Poisson distributions are also discussed and used to develop sampling inspection schemes.* Continuous Distributions introduces continuous variables by examining the waiting time between Poisson occurrences. The exponential distribution and its applications to reliability are investigated, and the Markov property is illustrated via simulation in R. The normal distribution is examined and applied to statistical process control.* Tailing Off delves into the use of Markov and Chebyshev inequalities as tools for estimating tail probabilities with limited information on the random variable. Numerous exercises and projects are provided in each chapter, many of which require the use of R to perform routine calculations and conduct experiments with simulated data. The author directs readers to the appropriate Web-based resources for installing the R software package and also supplies the essential commands for working in the R workspace. A related Web site features an active appendix as well as a forum for readers to share findings, thoughts, and ideas. With its accessible and hands-on approach, Probability with R is an ideal book for a first course in probability at the upper-undergraduate and graduate levels for readers with a background in computer science, engineering, and the general sciences. It also serves as a valuable reference for computing professionals who would like to further understand the relevance of probability in their areas of practice. Nº de ref. de la librería AAS9780470280737

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Descripción John Wiley and Sons Ltd. Hardback. Estado de conservación: new. BRAND NEW, Probability with R: An Introduction with Computer Science Applications, Jane Horgan, A Complete Introduction to probability AND its computer Science Applications USING R Probability with R serves as a comprehensive and introductory book on probability with an emphasis on computing-related applications. Real examples show how probability can be used in practical situations, and the freely available and downloadable statistical programming language R illustrates and clarifies the book's main principles. Promoting a simulation- and experimentation-driven methodology, this book highlights the relationship between probability and computing in five distinctive parts:* The R Language presents the essentials of the R language, including key procedures for summarizing and building graphical displays of statistical data.* Fundamentals of Probability provides the foundations of the basic concepts of probability and moves into applications in computing. Topical coverage includes conditional probability, Bayes' theorem, system reliability, and the development of the main laws and properties of probability.* Discrete Distributions addresses discrete random variables and their density and distribution functions as well as the properties of expectation. The geometric, binomial, hypergeometric, and Poisson distributions are also discussed and used to develop sampling inspection schemes.* Continuous Distributions introduces continuous variables by examining the waiting time between Poisson occurrences. The exponential distribution and its applications to reliability are investigated, and the Markov property is illustrated via simulation in R. The normal distribution is examined and applied to statistical process control.* Tailing Off delves into the use of Markov and Chebyshev inequalities as tools for estimating tail probabilities with limited information on the random variable. Numerous exercises and projects are provided in each chapter, many of which require the use of R to perform routine calculations and conduct experiments with simulated data. The author directs readers to the appropriate Web-based resources for installing the R software package and also supplies the essential commands for working in the R workspace. A related Web site features an active appendix as well as a forum for readers to share findings, thoughts, and ideas. With its accessible and hands-on approach, Probability with R is an ideal book for a first course in probability at the upper-undergraduate and graduate levels for readers with a background in computer science, engineering, and the general sciences. It also serves as a valuable reference for computing professionals who would like to further understand the relevance of probability in their areas of practice. Nº de ref. de la librería B9780470280737

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Jane Horgan
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ISBN 10: 0470280735 ISBN 13: 9780470280737
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Descripción John Wiley and Sons Ltd, United States, 2009. Hardback. Estado de conservación: New. New. 236 x 158 mm. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. A Complete Introduction to probability AND its computer Science Applications USING R Probability with R serves as a comprehensive and introductory book on probability with an emphasis on computing-related applications. Real examples show how probability can be used in practical situations, and the freely available and downloadable statistical programming language R illustrates and clarifies the book s main principles. Promoting a simulation- and experimentation-driven methodology, this book highlights the relationship between probability and computing in five distinctive parts:* The R Language presents the essentials of the R language, including key procedures for summarizing and building graphical displays of statistical data.* Fundamentals of Probability provides the foundations of the basic concepts of probability and moves into applications in computing. Topical coverage includes conditional probability, Bayes theorem, system reliability, and the development of the main laws and properties of probability.* Discrete Distributions addresses discrete random variables and their density and distribution functions as well as the properties of expectation. The geometric, binomial, hypergeometric, and Poisson distributions are also discussed and used to develop sampling inspection schemes.* Continuous Distributions introduces continuous variables by examining the waiting time between Poisson occurrences. The exponential distribution and its applications to reliability are investigated, and the Markov property is illustrated via simulation in R. The normal distribution is examined and applied to statistical process control.* Tailing Off delves into the use of Markov and Chebyshev inequalities as tools for estimating tail probabilities with limited information on the random variable. Numerous exercises and projects are provided in each chapter, many of which require the use of R to perform routine calculations and conduct experiments with simulated data. The author directs readers to the appropriate Web-based resources for installing the R software package and also supplies the essential commands for working in the R workspace. A related Web site features an active appendix as well as a forum for readers to share findings, thoughts, and ideas. With its accessible and hands-on approach, Probability with R is an ideal book for a first course in probability at the upper-undergraduate and graduate levels for readers with a background in computer science, engineering, and the general sciences. It also serves as a valuable reference for computing professionals who would like to further understand the relevance of probability in their areas of practice. Nº de ref. de la librería BZV9780470280737

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Jane Horgan
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ISBN 10: 0470280735 ISBN 13: 9780470280737
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Descripción Wiley, 2008. Hardcover. Estado de conservación: Brand New. new edition. 393 pages. 9.25x6.25x0.75 inches. In Stock. Nº de ref. de la librería z-0470280735

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Jane Horgan
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Descripción Wiley 2008-11-25, Oxford, 2008. hardback. Estado de conservación: New. Nº de ref. de la librería 9780470280737

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Jane Horgan
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Descripción Wiley, 2008. Hardcover. Estado de conservación: New. 1. Nº de ref. de la librería DADAX0470280735

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