bayesian statistical modelling de congdon peter (30 résultats)

Hardcover. Etat : Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.3.

Etat : Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9780471496007.

Etat : Gut. Zustand: Gut | Seiten: 531 | Sprache: Englisch | Produktart: Bücher.

Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Etat : 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,1250grams, ISBN:9780470018750.

Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Etat : Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Hardcover. Etat : New. ISBN:9788126545131.

Hardcover. Etat : Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.11.

Hardcover. Etat : New. No Jacket. 2nd Edition. This is a new second edition hardcover copy, slick blue binding, no DJ. 573 pages with index.

Gebunden. Etat : New. Peter Congdon is Research Professor of Quantitative Geography and Health Statistics at Queen Mary University of London. He has written three earlier books on Bayesian modelling and data analysis techniques with Wiley, and has a wide range of publications in.

Hardcover. Etat : 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!

Etat : New. In.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New.

Hardback. Etat : New. New copy - Usually dispatched within 4 working days. 1256.

Etat : New. pp. xi + 573 Illus.

Etat : New. Bayesian Statistical Modelling, Second Edition, provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Series: Wiley Series in Probability and Statistics. Num Pages: 596 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 253 x 174 x 37. Weight in Grams: 1162. . 2007. 2nd Edition. Hardcover. . . . .

Buch. Etat : Neu. Neuware - Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian ;methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics.Following the success of the first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the principles of prior selection, identification and the interpretation of real data sets.The second edition:\* Provides an integrated presentation of theory, examples, applications and computer algorithms.\* Discusses the role of Markov Chain Monte Carlo methods in computing and estimation.\* Includes a wide range of interdisciplinary applications, and a large selection of worked examples from the health and social sciences.\* Features a comprehensive range of methodologies and modelling techniques, and examines model fitting in practice using Bayesian principles.\* Provides exercises designed to help reinforce the reader's knowledge and a supplementary website containing data sets and relevant programs.\* Bayesian Statistical Modelling id ideal for researched in applied statistics, medical science, public health and the social sciences, who will benefit greatly from the examples and applications featured. The book will also appeal to graduate students of applied statistics, data analysis and Bayesian methods, and will provide a great source of reference for both researchers and students.Praise for the First Edition:'It is a remarkable achievement to have carried out such a rang of analysis on such a range of data sets. I found this book comprehensive and stimulating, and was thoroughly impressed with both the depth and the range of the discussions it contains.' - ISI - Short Book Reviews'This is an excellent introductory book on Bayesian modelling techniques and data analysis.' - Biometrics'The book fills an important niche in the statistical literature and should be a very valuable resource for students and professionals who are utilizing Bayesian methods.' - Journal of Mathematical Psychology.

Hardcover. Etat : new. Hardcover. Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Following the success of the first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the principles of prior selection, identification and the interpretation of real data sets. The second edition: Provides an integrated presentation of theory, examples, applications and computer algorithms.Discusses the role of Markov Chain Monte Carlo methods in computing and estimation.Includes a wide range of interdisciplinary applications, and a large selection of worked examples from the health and social sciences.Features a comprehensive range of methodologies and modelling techniques, and examines model fitting in practice using Bayesian principles.Provides exercises designed to help reinforce the reader's knowledge and a supplementary website containing data sets and relevant programs. Bayesian Statistical Modelling is ideal for researchers in applied statistics, medical science, public health and the social sciences, who will benefit greatly from the examples and applications featured. The book will also appeal to graduate students of applied statistics, data analysis and Bayesian methods, and will provide a great source of reference for both researchers and students. Praise for the First Edition: "It is a remarkable achievement to have carried out such a range of analysis on such a range of data sets. I found this book comprehensive and stimulating, and was thoroughly impressed with both the depth and the range of the discussions it contains."ISI - Short Book Reviews "This is an excellent introductory book on Bayesian modelling techniques and data analysis."Biometrics "The book fills an important niche in the statistical literature and should be a very valuable resource for students and professionals who are utilizing Bayesian methods."Journal of Mathematical Psychology Bayesian Statistical Modelling, Second Edition, provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Etat : New.

Hardcover. Etat : Brand New. 2nd edition. 573 pages. 9.75x7.00x1.50 inches. In Stock.

Etat : New. pp. xi + 573.

Etat : New.

Etat : New. Bayesian Statistical Modelling, Second Edition, provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Series: Wiley Series in Probability and Statistics. Num Pages: 596 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 253 x 174 x 37. Weight in Grams: 1162. . 2007. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Etat : new. Hardcover. Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Following the success of the first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the principles of prior selection, identification and the interpretation of real data sets. The second edition: Provides an integrated presentation of theory, examples, applications and computer algorithms.Discusses the role of Markov Chain Monte Carlo methods in computing and estimation.Includes a wide range of interdisciplinary applications, and a large selection of worked examples from the health and social sciences.Features a comprehensive range of methodologies and modelling techniques, and examines model fitting in practice using Bayesian principles.Provides exercises designed to help reinforce the reader's knowledge and a supplementary website containing data sets and relevant programs. Bayesian Statistical Modelling is ideal for researchers in applied statistics, medical science, public health and the social sciences, who will benefit greatly from the examples and applications featured. The book will also appeal to graduate students of applied statistics, data analysis and Bayesian methods, and will provide a great source of reference for both researchers and students. Praise for the First Edition: "It is a remarkable achievement to have carried out such a range of analysis on such a range of data sets. I found this book comprehensive and stimulating, and was thoroughly impressed with both the depth and the range of the discussions it contains."ISI - Short Book Reviews "This is an excellent introductory book on Bayesian modelling techniques and data analysis."Biometrics "The book fills an important niche in the statistical literature and should be a very valuable resource for students and professionals who are utilizing Bayesian methods."Journal of Mathematical Psychology Bayesian Statistical Modelling, Second Edition, provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Etat : new. Hardcover. Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters. Such developments together with the availability of freeware such as WINBUGS and R have facilitated a rapid growth in the use of Bayesian methods, allowing their application in many scientific disciplines, including applied statistics, public health research, medical science, the social sciences and economics. Following the success of the first edition, this reworked and updated book provides an accessible approach to Bayesian computing and analysis, with an emphasis on the principles of prior selection, identification and the interpretation of real data sets. The second edition: Provides an integrated presentation of theory, examples, applications and computer algorithms.Discusses the role of Markov Chain Monte Carlo methods in computing and estimation.Includes a wide range of interdisciplinary applications, and a large selection of worked examples from the health and social sciences.Features a comprehensive range of methodologies and modelling techniques, and examines model fitting in practice using Bayesian principles.Provides exercises designed to help reinforce the reader's knowledge and a supplementary website containing data sets and relevant programs. Bayesian Statistical Modelling is ideal for researchers in applied statistics, medical science, public health and the social sciences, who will benefit greatly from the examples and applications featured. The book will also appeal to graduate students of applied statistics, data analysis and Bayesian methods, and will provide a great source of reference for both researchers and students. Praise for the First Edition: "It is a remarkable achievement to have carried out such a range of analysis on such a range of data sets. I found this book comprehensive and stimulating, and was thoroughly impressed with both the depth and the range of the discussions it contains."ISI - Short Book Reviews "This is an excellent introductory book on Bayesian modelling techniques and data analysis."Biometrics "The book fills an important niche in the statistical literature and should be a very valuable resource for students and professionals who are utilizing Bayesian methods."Journal of Mathematical Psychology Bayesian Statistical Modelling, Second Edition, provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Etat : new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.

Etat : New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.