9780470015629 - Bayes Linear Statistics: Theory and Methods di Goldstein, Michael; Wooff, David (14 risultati)

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Gebunden. Condizione: New. Michael Goldstein, Professor of Statistics, Department of Mathematical Sciences, University of DurhamMichael Goldstein has worked on and researched the Bayes linear approach for around 30 years, his general interests being in the foundations, methodology an.

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Hardcover. Condizione: new. Hardcover. Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. The methodology differs from the full Bayesian methodology in that it establishes simpler approaches to belief specification and analysis based around expectation judgements. Bayes Linear Statistics presents an authoritative account of this approach, explaining the foundations, theory, methodology, and practicalities of this important field. The text provides a thorough coverage of Bayes linear analysis, from the development of the basic language to the collection of algebraic results needed for efficient implementation, with detailed practical examples. The book covers: The importance of partial prior specifications for complex problems where it is difficult to supply a meaningful full prior probability specification.Simple ways to use partial prior specifications to adjust beliefs, given observations.Interpretative and diagnostic tools to display the implications of collections of belief statements, and to make stringent comparisons between expected and actual observations.General approaches to statistical modelling based upon partial exchangeability judgements.Bayes linear graphical models to represent and display partial belief specifications, organize computations, and display the results of analyses. Bayes Linear Statistics is essential reading for all statisticians concerned with the theory and practice of Bayesian methods. There is an accompanying website hosting free software and guides to the calculations within the book. Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Buch. Condizione: Neu. Bayes Linear Statistics | Theory and Methods | Michael Goldstein (u. a.) | Buch | Preface.1 The Bayes linear approach.2 Expectation.3 Adjusting beliefs.4 The observed adjustment.5 Partial Bayes linear analysis.6 Exchangeable beliefs.7 Co-exchangeable beliefs.8 Learning about population variances.9 Belief comparison.10 Bayes linear gra | Englisch | 2007 | Wiley | EAN 9780470015629 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Condizione: New. Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. Series: Wiley Series in Probability and Statistics. Num Pages: 536 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 160 x 33. Weight in Grams: 880. . 2007. . . . .

Buch. Condizione: Neu. Neuware - Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. The methodology differs from the full Bayesian methodology in that it establishes simpler approaches to belief specification and analysis based around expectation judgements. Bayes Linear Statistics presents an authoritative account of this approach, explaining the foundations, theory, methodology, and practicalities of this important field.The text provides a thorough coverage of Bayes linear analysis, from the development of the basic language to the collection of algebraic results needed for efficient implementation, with detailed practical examples.The book covers:\* The importance of partial prior specifications for complex problems where it is difficult to supply a meaningful full prior probability specification.\* Simple ways to use partial prior specifications to adjust beliefs, given observations.\* Interpretative and diagnostic tools to display the implications of collections of belief statements, and to make stringent comparisons between expected and actual observations.\* General approaches to statistical modelling based upon partial exchangeability judgements.\* Bayes linear graphical models to represent and display partial belief specifications, organize computations, and display the results of analyses.Bayes Linear Statistics is essential reading for all statisticians concerned with the theory and practice of Bayesian methods. There is an accompanying website hosting free software and guides to the calculations within the book.

Hardcover. Condizione: new. Hardcover. Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. The methodology differs from the full Bayesian methodology in that it establishes simpler approaches to belief specification and analysis based around expectation judgements. Bayes Linear Statistics presents an authoritative account of this approach, explaining the foundations, theory, methodology, and practicalities of this important field. The text provides a thorough coverage of Bayes linear analysis, from the development of the basic language to the collection of algebraic results needed for efficient implementation, with detailed practical examples. The book covers: The importance of partial prior specifications for complex problems where it is difficult to supply a meaningful full prior probability specification.Simple ways to use partial prior specifications to adjust beliefs, given observations.Interpretative and diagnostic tools to display the implications of collections of belief statements, and to make stringent comparisons between expected and actual observations.General approaches to statistical modelling based upon partial exchangeability judgements.Bayes linear graphical models to represent and display partial belief specifications, organize computations, and display the results of analyses. Bayes Linear Statistics is essential reading for all statisticians concerned with the theory and practice of Bayesian methods. There is an accompanying website hosting free software and guides to the calculations within the book. Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condizione: New. Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. Series: Wiley Series in Probability and Statistics. Num Pages: 536 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 160 x 33. Weight in Grams: 880. . 2007. . . . . Books ship from the US and Ireland.

Hardcover. Condizione: new. Hardcover. Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. The methodology differs from the full Bayesian methodology in that it establishes simpler approaches to belief specification and analysis based around expectation judgements. Bayes Linear Statistics presents an authoritative account of this approach, explaining the foundations, theory, methodology, and practicalities of this important field. The text provides a thorough coverage of Bayes linear analysis, from the development of the basic language to the collection of algebraic results needed for efficient implementation, with detailed practical examples. The book covers: The importance of partial prior specifications for complex problems where it is difficult to supply a meaningful full prior probability specification.Simple ways to use partial prior specifications to adjust beliefs, given observations.Interpretative and diagnostic tools to display the implications of collections of belief statements, and to make stringent comparisons between expected and actual observations.General approaches to statistical modelling based upon partial exchangeability judgements.Bayes linear graphical models to represent and display partial belief specifications, organize computations, and display the results of analyses. Bayes Linear Statistics is essential reading for all statisticians concerned with the theory and practice of Bayesian methods. There is an accompanying website hosting free software and guides to the calculations within the book. Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.