9780470280737 - probability with r: an introduction with computer science applications von horgan, jane m. (16 Ergebnisse)
- Hardcover
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Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780470280737.
- Hardcover
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Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
- Hardcover
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Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
- Hardcover
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- Hardcover
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Rilegato in Tela. Zustand: fine. West Sussex, 2008; clothbound, pp. 393, cm 16x24. Libro.
- Hardcover
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EUR 145,34
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- Hardcover
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- Hardcover
- Erstausgabe
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EUR 163,64
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Hardcover. Zustand: new. Hardcover. 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. There is a great need for a book on introductory probability applied to problems in computing. Probability with R serves as an introduction to probability and its application to computer disciplines and successfully convinces readers of the relevance of probability to computing. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Hardcover
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- Hardcover
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- Softcover
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EUR 174,46
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Zustand: New. There is a great need for a book on introductory probability applied to problems in computing. Probability with R serves as an introduction to probability and its application to computer disciplines and successfully convinces readers of the relevance of probability to computing. Num Pages: 394 pages, Illustrations.… BIC Classification: PB; UB. Category: (P) Professional & Vocational. Dimension: 244 x 166 x 23. Weight in Grams: 712. . 2008. Hardback. . . . .
- Hardcover
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- Hardcover
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EUR 149,37
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Gebunden. Zustand: New. Jane M. Horgan is Associate Professor of Statistics in the School of Computing at Dublin City University, Ireland. A Fellow of the Institute of Statisticians, Dr. Horgan has published extensively in the areas of statistical sampling and estimation. Her rese.
- Hardcover
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Zustand: New. There is a great need for a book on introductory probability applied to problems in computing. Probability with R serves as an introduction to probability and its application to computer disciplines and successfully convinces readers of the relevance of probability to computing. Num Pages: 394 pages, Illustrations.… BIC Classification: PB; UB. Category: (P) Professional & Vocational. Dimension: 244 x 166 x 23. Weight in Grams: 712. . 2008. Hardback. . . . . Books ship from the US and Ireland.
- Hardcover
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Zustand: New. Brand new! Please provide a physical shipping address.
- Hardcover
- Erstausgabe
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Hardcover. Zustand: new. Hardcover. 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. There is a great need for a book on introductory probability applied to problems in computing. Probability with R serves as an introduction to probability and its application to computer disciplines and successfully convinces readers of the relevance of probability to computing. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
