9781420083415 - Bayesian Methods for Measures of Agreement di Broemeling, Lyle D. (26 risultati)

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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Hardcover. Condizione: new. Hardcover. Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process.The author employs a Bayesian approach to provide statistical inferences based on various models of intra- and interrater agreement. He presents many examples that illustrate the Bayesian mode of reasoning and explains elements of a Bayesian application, including prior information, experimental information, the likelihood function, posterior distribution, and predictive distribution. The appendices provide the necessary theoretical foundation to understand Bayesian methods as well as introduce the fundamentals of programming and executing the WinBUGS software.Taking a Bayesian approach to inference, this hands-on book explores numerous measures of agreement, including the Kappa coefficient, the G coefficient, and intraclass correlation. With examples throughout and end-of-chapter exercises, it discusses how to successfully design and analyze an agreement study. Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, this book presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In.

Hardcover. Condizione: New.

Condizione: new.

Condizione: As New. Unread book in perfect condition.

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

Condizione: New. pp. 340.

Hardback. Condizione: New. Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process.The author employs a Bayesian approach to provide statistical inferences based on various models of intra- and interrater agreement. He presents many examples that illustrate the Bayesian mode of reasoning and explains elements of a Bayesian application, including prior information, experimental information, the likelihood function, posterior distribution, and predictive distribution. The appendices provide the necessary theoretical foundation to understand Bayesian methods as well as introduce the fundamentals of programming and executing the WinBUGS software.Taking a Bayesian approach to inference, this hands-on book explores numerous measures of agreement, including the Kappa coefficient, the G coefficient, and intraclass correlation. With examples throughout and end-of-chapter exercises, it discusses how to successfully design and analyze an agreement study.

Condizione: NEW.

Condizione: New. Employs a Bayesian approach to provide statistical inferences based on various models of intra- and inter rater agreement. This book explores numerous measures of agreement, including the Kappa coefficient, the G coefficient, and intraclass correlation. It discusses how to successfully design and analyze an agreement study. Series: Chapman & Hall/CRC Biostatistics Series. Num Pages: 340 pages, 28 black & white illustrations. BIC Classification: JHBC. Category: (P) Professional & Vocational. Dimension: 162 x 236 x 24. Weight in Grams: 636. . 2009. 0th Edition. Hardcover. . . . .

Condizione: New. pp. 340.

Hardback. Condizione: New. Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process.The author employs a Bayesian approach to provide statistical inferences based on various models of intra- and interrater agreement. He presents many examples that illustrate the Bayesian mode of reasoning and explains elements of a Bayesian application, including prior information, experimental information, the likelihood function, posterior distribution, and predictive distribution. The appendices provide the necessary theoretical foundation to understand Bayesian methods as well as introduce the fundamentals of programming and executing the WinBUGS software.Taking a Bayesian approach to inference, this hands-on book explores numerous measures of agreement, including the Kappa coefficient, the G coefficient, and intraclass correlation. With examples throughout and end-of-chapter exercises, it discusses how to successfully design and analyze an agreement study.

Hardcover. Condizione: Brand New. 1st edition. 424 pages. 9.49x6.38x0.91 inches. In Stock.

Gebunden. Condizione: New. Lyle D. BroemelingUsing WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It.

Condizione: New. Employs a Bayesian approach to provide statistical inferences based on various models of intra- and inter rater agreement. This book explores numerous measures of agreement, including the Kappa coefficient, the G coefficient, and intraclass correlation. It discusses how to successfully design and analyze an agreement study. Series: Chapman & Hall/CRC Biostatistics Series. Num Pages: 340 pages, 28 black & white illustrations. BIC Classification: JHBC. Category: (P) Professional & Vocational. Dimension: 162 x 236 x 24. Weight in Grams: 636. . 2009. 0th Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardback. Condizione: New. Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process.The author employs a Bayesian approach to provide statistical inferences based on various models of intra- and interrater agreement. He presents many examples that illustrate the Bayesian mode of reasoning and explains elements of a Bayesian application, including prior information, experimental information, the likelihood function, posterior distribution, and predictive distribution. The appendices provide the necessary theoretical foundation to understand Bayesian methods as well as introduce the fundamentals of programming and executing the WinBUGS software.Taking a Bayesian approach to inference, this hands-on book explores numerous measures of agreement, including the Kappa coefficient, the G coefficient, and intraclass correlation. With examples throughout and end-of-chapter exercises, it discusses how to successfully design and analyze an agreement study.

Buch. Condizione: Neu. Neuware - Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, this book presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process. The author presents many real-world examples that illustrate the Bayesian mode of reasoning and explains elements of a Bayesian application, including prior information, experimental information, the likelihood function, posterior distribution, and predictive distribution. The appendices provide the necessary theoretical foundation to understand Bayesian methods as well as introduce the fundamentals of programming and executing the WinBUGS software.

Buch. Condizione: Neu. Bayesian Methods for Measures of Agreement | Lyle D. Broemeling | Buch | Einband - fest (Hardcover) | Englisch | 2009 | Taylor & Francis Ltd | EAN 9781420083415 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Hardback. Condizione: New. Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process.The author employs a Bayesian approach to provide statistical inferences based on various models of intra- and interrater agreement. He presents many examples that illustrate the Bayesian mode of reasoning and explains elements of a Bayesian application, including prior information, experimental information, the likelihood function, posterior distribution, and predictive distribution. The appendices provide the necessary theoretical foundation to understand Bayesian methods as well as introduce the fundamentals of programming and executing the WinBUGS software.Taking a Bayesian approach to inference, this hands-on book explores numerous measures of agreement, including the Kappa coefficient, the G coefficient, and intraclass correlation. With examples throughout and end-of-chapter exercises, it discusses how to successfully design and analyze an agreement study.

Hardcover. Condizione: new. Hardcover. Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process.The author employs a Bayesian approach to provide statistical inferences based on various models of intra- and interrater agreement. He presents many examples that illustrate the Bayesian mode of reasoning and explains elements of a Bayesian application, including prior information, experimental information, the likelihood function, posterior distribution, and predictive distribution. The appendices provide the necessary theoretical foundation to understand Bayesian methods as well as introduce the fundamentals of programming and executing the WinBUGS software.Taking a Bayesian approach to inference, this hands-on book explores numerous measures of agreement, including the Kappa coefficient, the G coefficient, and intraclass correlation. With examples throughout and end-of-chapter exercises, it discusses how to successfully design and analyze an agreement study. Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, this book presents useful methods for the design and analysis of agreement studies. It focuses on agreement among the various players in the diagnostic process. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condizione: Used: Good. Occasion - Bon Etat - Bayesian methods for measures of agreement (2008) - Grand Format.

Condizione: New. pp. 340 Illus. This item is printed on demand.