applied bayesian modelling von congdon peter (35 Ergebnisse)

Zustand: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Hardcover. Second Edition. Large Octavo, ix, xi, 437 pages. In Very Good minus condition. Bound in the publisher's blue/red cloth white and yellow lettering to the spine. Boards have slight wear including finger marks, bumped spine edges and minor wear to the fore corners. Slight cocking to the spine. Text block has slight wear including mild soiling to the edges and previous owner's name to the front pastedown. Minor notation to the copyright page. Illustrated. Second edition. NOTE: Shelved in Netdesk Column Q, ND-Q. 1394976. FP New Rockville Stock.

Hardcover. Zustand: New.

Zustand: 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. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1050grams, ISBN:9780471486954.

Hardcover. Zustand: new. Hardcover. This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBUGS and OPENBUGS. This feature continues in the new edition along with examples using R to broaden appeal and for completeness of coverage. This book 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.

Zustand: New.

Zustand: New. pp. 464 Index 2nd Edition.

Zustand: As New. Unread book in perfect condition.

Zustand: New. pp. 464.

Zustand: New. In.

Zustand: New.

Zustand: New. pp. 464.

hardcover. iT'S NEW! Ships same or next bus.

Hardback. Zustand: New. New copy - Usually dispatched within 4 working days. 876.

Zustand: New. This book 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: 464 pages, illustrations. BIC Classification: PBTB. Category: (P) Professional & Vocational. Dimension: 252 x 174 x 27. Weight in Grams: 842. . 2014. 2nd Edition. Hardcover. . . . .

Hardback. Zustand: New. This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBUGS and OPENBUGS. This feature continues in the new edition along with examples using R to broaden appeal and for completeness of coverage.

Zustand: New. Brand new! Please provide a physical shipping address.

Hardcover. Zustand: new. Hardcover. This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBUGS and OPENBUGS. This feature continues in the new edition along with examples using R to broaden appeal and for completeness of coverage. This book 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.

Zustand: New. This book 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: 464 pages, illustrations. BIC Classification: PBTB. Category: (P) Professional & Vocational. Dimension: 252 x 174 x 27. Weight in Grams: 842. . 2014. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.

Zustand: New. A nice guidebook to intermediate and advanced Bayesian models. (Scientific Computing, 13 January 2015)This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Followin.

Hardcover. Zustand: new. Hardcover. The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author's best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and health sciences. The applications are illustrated through many real-life examples and software implementation in WINBUGS - a popular software package that offers a simplified and flexible approach to statistical modelling. The book gives detailed explanations for each example - explaining fully the choice of model for each particular problem. The book * Provides a broad and comprehensive account of applied Bayesian modelling. * Describes a variety of model assessment methods and the flexibility of Bayesian prior specifications. * Covers many application areas, including panel data models, structural equation and other multivariate structure models, spatial analysis, survival analysis and epidemiology. * Provides detailed worked examples in WINBUGS to illustrate the practical application of the techniques described. All WINBUGS programs are available from an ftp site. The book provides a good introduction to Bayesian modelling and data analysis for a wide range of people involved in applied statistical analysis, including researchers and students from statistics, and the health and social sciences. The wealth of examples makes this book an ideal reference for anyone involved in statistical modelling and analysis. Bayesian statistics uses information from past experience to infer the results of future events. With recent advances in computing power and the development of computer intensive methods for statistical estimation, Bayesian approaches to model estimation have become more feasible and popular. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: As New. Unread book in perfect condition.

Zustand: New. In.

Hardcover. Zustand: Like New. Like New. book.

Hardcover. Zustand: new. Hardcover. This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBUGS and OPENBUGS. This feature continues in the new edition along with examples using R to broaden appeal and for completeness of coverage. This book 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.

Zustand: New. pp. xii + 457 Illus.

Zustand: New. pp. xii + 457.

Zustand: New. Bayesian statistics uses information from past experience to infer the results of future events. With recent advances in computing power and the development of computer intensive methods for statistical estimation, Bayesian approaches to model estimation have become more feasible and popular. Series: Wiley Series in Probability and Statistics. Num Pages: 478 pages, Illustrations. BIC Classification: JHBC; PBT; PDE; TBJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 255 x 178 x 32. Weight in Grams: 1016. . 2003. 1st Edition. Hardcover. . . . .

Buch. Zustand: Neu. Neuware - This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader s own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBUGS and OPENBUGS. This feature continues in the new edition along with examples using R to broaden appeal and for completeness of coverage.

Hardcover. Zustand: new. Hardcover. The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author's best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and health sciences. The applications are illustrated through many real-life examples and software implementation in WINBUGS - a popular software package that offers a simplified and flexible approach to statistical modelling. The book gives detailed explanations for each example - explaining fully the choice of model for each particular problem. The book * Provides a broad and comprehensive account of applied Bayesian modelling. * Describes a variety of model assessment methods and the flexibility of Bayesian prior specifications. * Covers many application areas, including panel data models, structural equation and other multivariate structure models, spatial analysis, survival analysis and epidemiology. * Provides detailed worked examples in WINBUGS to illustrate the practical application of the techniques described. All WINBUGS programs are available from an ftp site. The book provides a good introduction to Bayesian modelling and data analysis for a wide range of people involved in applied statistical analysis, including researchers and students from statistics, and the health and social sciences. The wealth of examples makes this book an ideal reference for anyone involved in statistical modelling and analysis. Bayesian statistics uses information from past experience to infer the results of future events. With recent advances in computing power and the development of computer intensive methods for statistical estimation, Bayesian approaches to model estimation have become more feasible and popular. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.