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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
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Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
Original o primera edición
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Añadir al carritoHardcover. Condición: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Librería: CampusBear, Coppell, TX, Estados Unidos de America
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Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
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Librería: GoldBooks, Denver, CO, Estados Unidos de America
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Librería: Reader's Corner, Inc., Raleigh, NC, Estados Unidos de America
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Añadir al carritoHardcover. Condición: New. 1st Edition. This is a new hardcover first edition fourth printing copy, no DJ, black spine. 498 pages with index.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 74,58
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 84,41
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 85,51
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por Taylor & Francis Inc, Bosa Roca, 2010
ISBN 10: 1439803544 ISBN 13: 9781439803547
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 104,04
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Añadir al carritoHardcover. Condición: 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 90,77
Cantidad disponible: 10 disponibles
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 91,07
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New.
Librería: Chiron Media, Wallingford, Reino Unido
EUR 92,88
Cantidad disponible: 5 disponibles
Añadir al carritoHardcover. Condición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 120,87
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Añadir al carritoCondición: New. In.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2010
ISBN 10: 1439803544 ISBN 13: 9781439803547
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 136,66
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Añadir al carritoCondición: New. PP. 516 Index.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 127,17
Cantidad disponible: 11 disponibles
Añadir al carritoCondición: New. 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. Series: Chapman & Hall/CRC Texts in Statistical Science. Num Pages: 516 pages, 87 black & white illustrations, 57 black & white tables. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 261 x 187 x 31. Weight in Grams: 1130. . 2010. 1st Edition. hardcover. . . . .
Idioma: Inglés
Publicado por Taylor & Francis Group, 2010
ISBN 10: 1439803544 ISBN 13: 9781439803547
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 135,79
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. PP. 516.
Idioma: Inglés
Publicado por Taylor & Francis Inc, Bosa Roca, 2010
ISBN 10: 1439803544 ISBN 13: 9781439803547
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 129,28
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 162,46
Cantidad disponible: 11 disponibles
Añadir al carritoCondición: New. 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. Series: Chapman & Hall/CRC Texts in Statistical Science. Num Pages: 516 pages, 87 black & white illustrations, 57 black & white tables. BIC Classification: PBT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 261 x 187 x 31. Weight in Grams: 1130. . 2010. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 161,18
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 1st edition. 498 pages. 10.75x7.50x1.25 inches. In Stock.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2010
ISBN 10: 1439803544 ISBN 13: 9781439803547
Librería: Majestic Books, Hounslow, Reino Unido
EUR 113,27
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. PP. 516 Illus. This item is printed on demand.
Librería: moluna, Greven, Alemania
EUR 91,74
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: 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.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 155,64
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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.