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Introduction Probability Simulation Gibbs by Suess Eric (19 results)
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Introduction to Probability Simulation and Gibbs Sampling with R (Use R!)
Published by Springer (edition 2010), 2010
ISBN 10: 038740273X ISBN 13: 9780387402734
Language: English
Paperback. Condition: Good. 2010. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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Introduction to Probability Simulation and Gibbs Sampling with R (Use R!)
Seller: Goodwill Southern California, Los Angeles, CA, U.S.A.
Seller rating 5 out of 5 stars
Condition: good.
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Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Condition: good. This book is in good condition, with minimal signs of wear and tear.
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Introduction to Probability Simulation and Gibbs Sampling With R.
Seller: BIBLIOPE by Calvello Books, Oakland, CA, U.S.A.
Seller rating 4 out of 5 stars
Paperback. Condition: very good. xiii, 307p, diagrams; 24 cm. Probabilities -- Simulation methods. R (Computer program language) Sampling (Statistics) Probabilities -- Simulation methods. R (Computer program language) Sampling (Statistics) Gibbs-sampling R Simulation Stichprobennahme Wahrscheinlichkeit Wahrscheinlichkeitsverteilung. Sparse hilites in yellow to approx 3-4 pages only; else tight clean and very good(++).
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Condition: New.
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Paperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Condition: As New. Unread book in perfect condition.
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paperback. Condition: New. In shrink wrap. Looks like an interesting title!
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Introduction to Probability Simulation and Gibbs Sampling with R (Use R!)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Introduction to Probability Simulation and Gibbs Sampling With R
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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PF. Condition: New.
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Introduction to Probability Simulation and Gibbs Sampling With R
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Taschenbuch. Condition: Neu. Introduction to Probability Simulation and Gibbs Sampling with R | Eric A Suess (u. a.) | Taschenbuch | xiii | Englisch | 2010 | Springer New York | EAN 9780387402734 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The first seven chapters use R for probability simulation and computation, including random number generation, numerical and Monte Carlo integration, and finding limiting distributions of Markov Chains with both discrete and continuous states. Applications include coverage probabilities of binomial confidence intervals, estimation of disease prevalence from screening tests, parallel redundancy for improved reliability of systems, and various kinds of genetic modeling. These initial chapters can be used for a non-Bayesian course in the simulation of applied probability models and Markov Chains. Chapters 8 through 10 give a brief introduction to Bayesian estimation and illustrate the use of Gibbs samplers to find posterior distributions and interval estimates, including some examples in which traditional methods do not give satisfactory results. WinBUGS software is introduced with a detailed explanation of its interface and examples of its use for Gibbs sampling for Bayesian estimation.No previous experience using R is required. An appendix introduces R, and complete R code is included for almost all computational examples and problems (along with comments and explanations). Noteworthy features of the book are its intuitive approach, presenting ideas with examples from biostatistics, reliability, and other fields; its large number of figures; and its extraordinarily large number of problems (about a third of the pages), ranging from simple drill to presentation of additional topics. Hints and answers are provided for many of the problems. These features make the book ideal for students of statistics at the senior undergraduate and at the beginning graduate levels.
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Introduction to Probability Simulation and Gibbs Sampling with R
Published by Springer-Verlag New York Inc., 2010
ISBN 10: 038740273X ISBN 13: 9780387402734
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 486.
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Introduction to Probability Simulation and Gibbs Sampling with R
Published by Springer New York Jun 2010, 2010
ISBN 10: 038740273X ISBN 13: 9780387402734
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The first seven chapters use R for probability simulation and computation, including random number generation, numerical and Monte Carlo integration, and finding limiting distributions of Markov Chains with both discrete and continuous states. Applications include coverage probabilities of binomial confidence intervals, estimation of disease prevalence from screening tests, parallel redundancy for improved reliability of systems, and various kinds of genetic modeling. These initial chapters can be used for a non-Bayesian course in the simulation of applied probability models and Markov Chains. Chapters 8 through 10 give a brief introduction to Bayesian estimation and illustrate the use of Gibbs samplers to find posterior distributions and interval estimates, including some examples in which traditional methods do not give satisfactory results. WinBUGS software is introduced with a detailed explanation of its interface and examples of its use for Gibbs sampling for Bayesian estimation.No previous experience using R is required. An appendix introduces R, and complete R code is included for almost all computational examples and problems (along with comments and explanations). Noteworthy features of the book are its intuitive approach, presenting ideas with examples from biostatistics, reliability, and other fields; its large number of figures; and its extraordinarily large number of problems (about a third of the pages), ranging from simple drill to presentation of additional topics. Hints and answers are provided for many of the problems. These features make the book ideal for students of statistics at the senior undergraduate and at the beginning graduate levels. 307 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Probability simulation using R inlcuding the simulations of the Law of Large numbers and the Central Limit TheoremIntroduces the most common methods of Monte Carlo integration using R. Gibbs sampling introduced using R and WinBUGS to obtain interval estima.
