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- EditorialChapman and Hall/CRC
- Año de publicación2019
- ISBN 10 1138492566
- ISBN 13 9781138492561
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de edición1
- Número de páginas552
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PROBABILITY AND BAYESIAN MODELING (TEXTS IN STATISTICAL SCIENCE SERIES)
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CRC Press, A Chapman & Hall Book, Boca Raton, 2020
ISBN 10: 1138492566
ISBN 13: 9781138492561
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Hardcover. Octavo, xiv, pages. In Good condition. Spine is black with white print. Boards in glossy illustrated paper. Text block has name in ink on front pastedown, pencil mark on copyright page and page xiv. Illustrated: b&w and color graphs and figures. NOTE: Shelved in Netdesk Column R. 1395527. FP New Rockville Stock. Nº de ref. del artículo: 1395527
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Probability and Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science)
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Chapman and Hall/CRC, 2019
ISBN 10: 1138492566
ISBN 13: 9781138492561
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Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
hardcover. 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). Nº de ref. del artículo: 006796800U
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Probability and Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science)
Publicado por
Chapman and Hall/CRC, 2019
ISBN 10: 1138492566
ISBN 13: 9781138492561
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Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
hardcover. Condición: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Nº de ref. del artículo: 006796800N
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Probability and Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science)
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Chapman and Hall/CRC, 2019
ISBN 10: 1138492566
ISBN 13: 9781138492561
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Condición: acceptable. This copy may contain significant wear, including bending, writing, tears, and or water damage. This book is a functional copy, not necessarily a beautiful copy. Copy may have loose or missing pages and may not include access codes or CD. Nº de ref. del artículo: GBV.1138492566.A
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Probability and Bayesian Modeling
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Chapman and Hall/CRC, 2019
ISBN 10: 1138492566
ISBN 13: 9781138492561
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Condición: 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. Nº de ref. del artículo: 38542632-5
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Probability and Bayesian Modeling
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Condición: New. Nº de ref. del artículo: 38542632-n
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PROBABILITY AND BAYESIAN MODELING, 1ST EDITION
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Taylor & Francis Group, 2019
ISBN 10: 1138492566
ISBN 13: 9781138492561
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Probability and Bayesian Modeling
Publicado por
Chapman and Hall/CRC, 2019
ISBN 10: 1138492566
ISBN 13: 9781138492561
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Condición: 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. Nº de ref. del artículo: 38542632-5
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Probability and Bayesian Modeling (Hardcover)
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Taylor & Francis Ltd, London, 2019
ISBN 10: 1138492566
ISBN 13: 9781138492561
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Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies motivated by some historical Bayesian studies and the authors research.This text reflects modern Bayesian statistical practice. Simulation is introduced in all the probability chapters and extensively used in the Bayesian material to simulate from the posterior and predictive distributions. One chapter describes the basic tenets of Metropolis and Gibbs sampling algorithms; however several chapters introduce the fundamentals of Bayesian inference for conjugate priors to deepen understanding. Strategies for constructing prior distributions are described in situations when one has substantial prior information and for cases where one has weak prior knowledge. One chapter introduces hierarchical Bayesian modeling as a practical way of combining data from different groups. There is an extensive discussion of Bayesian regression models including the construction of informative priors, inference about functions of the parameters of interest, prediction, and model selection.The text uses JAGS (Just Another Gibbs Sampler) as a general-purpose computational method for simulating from posterior distributions for a variety of Bayesian models. An R package ProbBayes is available containing all of the book datasets and special functions for illustrating concepts from the book.A complete solutions manual is available for instructors who adopt the book in the Additional Resources section. Bayesian statistics has been advancing in many aspects in recent years. Bayesian learning provides a natural framework for students to solve scientific problems. This book provides an introduction to Bayesian analysis for undergraduate students with calculus, statistics, and a computational background. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781138492561
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Probability and Bayesian Modeling
Publicado por
Chapman and Hall/CRC, 2019
ISBN 10: 1138492566
ISBN 13: 9781138492561
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Tapa dura
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 38542632
Cantidad disponible: 1 disponibles