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Hardcover. Condition: New. 1st Edition. This is a new hardcover first edition fourth printing copy, no DJ, black spine. 498 pages with index.
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Taylor & Francis Inc, Bosa Roca, 2010
ISBN 10: 1439803544 ISBN 13: 9781439803547
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. The WinBUGS code provided offers a convenient platform to model and analyze a wide range of data. The first five chapters of the book contain core material that spans basic Bayesian ideas, calculations, and inference, including modeling one and two sample data from traditional sampling models. The text then covers Monte Carlo methods, such as Markov chain Monte Carlo (MCMC) simulation. After discussing linear structures in regression, it presents binomial regression, normal regression, analysis of variance, and Poisson regression, before extending these methods to handle correlated data. The authors also examine survival analysis and binary diagnostic testing. A complementary chapter on diagnostic testing for continuous outcomes is available on the book's website.The last chapter on nonparametric inference explores density estimation and flexible regression modeling of mean functions. The appropriate statistical analysis of data involves a collaborative effort between scientists and statisticians. Exemplifying this approach, Bayesian Ideas and Data Analysis focuses on the necessary tools and concepts for modeling and analyzing scientific data. Data sets and codes are provided on a supplemental website. Emphasizing the use of WinBUGS and R to analyze real data, thsi book presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by CRC Press 2010-07-07, 2010
ISBN 10: 1439803544 ISBN 13: 9781439803547
Seller: Chiron Media, Wallingford, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Language: English
Published by Taylor & Francis Inc, Bosa Roca, 2010
ISBN 10: 1439803544 ISBN 13: 9781439803547
Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: new. Hardcover. Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. The WinBUGS code provided offers a convenient platform to model and analyze a wide range of data. The first five chapters of the book contain core material that spans basic Bayesian ideas, calculations, and inference, including modeling one and two sample data from traditional sampling models. The text then covers Monte Carlo methods, such as Markov chain Monte Carlo (MCMC) simulation. After discussing linear structures in regression, it presents binomial regression, normal regression, analysis of variance, and Poisson regression, before extending these methods to handle correlated data. The authors also examine survival analysis and binary diagnostic testing. A complementary chapter on diagnostic testing for continuous outcomes is available on the book's website.The last chapter on nonparametric inference explores density estimation and flexible regression modeling of mean functions. The appropriate statistical analysis of data involves a collaborative effort between scientists and statisticians. Exemplifying this approach, Bayesian Ideas and Data Analysis focuses on the necessary tools and concepts for modeling and analyzing scientific data. Data sets and codes are provided on a supplemental website. Emphasizing the use of WinBUGS and R to analyze real data, thsi book presents statistical tools to address scientific questions. It highlights foundational issues in statistics, the importance of making accurate predictions, and the need for scientists and statisticians to collaborate in analyzing data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 94.30
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Add to basketCondition: New. In.
Language: English
Published by Taylor & Francis Group, 2010
ISBN 10: 1439803544 ISBN 13: 9781439803547
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. PP. 516 Index.
Language: English
Published by Taylor & Francis Group, 2010
ISBN 10: 1439803544 ISBN 13: 9781439803547
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PP. 516.
Hardcover. Condition: Brand New. 1st edition. 498 pages. 10.75x7.50x1.25 inches. In Stock.
Language: English
Published by Taylor & Francis Group, 2010
ISBN 10: 1439803544 ISBN 13: 9781439803547
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. PP. 516 Illus. This item is printed on demand.
Seller: moluna, Greven, Germany
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Ronald Christensen is a Professor in the Department of Mathematics and Statistics at the University of New Mexico, Albuquerque. He is also a Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistic.
Buch. Condition: Neu. Bayesian Ideas and Data Analysis | An Introduction for Scientists and Statisticians | Ronald Christensen (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2010 | CRC Press | EAN 9781439803547 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Introducing Bayesian methods, this book emphasizes that the primary role of statistics is to provide appropriate tools for addressing scientific questions. As such, the authors present a collaborative approach to data analysis involving both scientists and statisticians that can be used to model unknown parameters using scientific information, called prior information or apriori. Keeping the mathematics to a minimum, the text focuses on applications, statistical ideas, models, and interpretations. It features WinBUGS throughout the computational problems and uses Monte Carlo methods for all simulations.