Dekorationsartikel gehören nicht zum Leistungsumfang.
                        Sprache:
                                                                                            Englisch
                                                    
                    53,75 €
Versandkostenfrei per Post / DHL
Lieferzeit 4-7 Werktage
            Kategorien:
        
                            
        
        
        
        
        
    
                    
                                                                                                                        
                                                                    
        
        
        
        
        
                                                
                            Beschreibung
                        
                    
                                                                        
                                        In recent years, Bayesian methods have become the most widely used statistical methods for data analysis and modelling. The BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior sensitivity. It also features a large number of worked examples, covering a wide range of applications from various disciplines, and exercises, solutions, code and data on a supplementary website.
                                    
                                    
                                        In recent years, Bayesian methods have become the most widely used statistical methods for data analysis and modelling. The BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior sensitivity. It also features a large number of worked examples, covering a wide range of applications from various disciplines, and exercises, solutions, code and data on a supplementary website.
                                    
                                                            
                                    Über den Autor
                                
                                
                                        David Lunn, Chris Jackson, Nicky Best, Andrew Thomas, David Spiegelhalter
                                    
                                
                                    Inhaltsverzeichnis
                                
                                Introduction: Probability and Parameters. Monte Carlo Simulations using BUGS. Introduction to Bayesian Inference. Introduction to Markov Chain Monte Carlo Methods. Prior Distributions. Regression Models. Categorical Data. Model Checking and Comparison. Issues in Modeling. Hierarchical Models. Specialized Models. Different Implementations of BUGS. Appendices. Bibliography. Index.
        Details
    
    | Erscheinungsjahr: | 2012 | 
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie | 
| Genre: | Importe, Mathematik | 
| Rubrik: | Naturwissenschaften & Technik | 
| Medium: | Taschenbuch | 
| Inhalt: | Einband - flex.(Paperback) | 
| ISBN-13: | 9781584888499 | 
| ISBN-10: | 1584888490 | 
| Sprache: | Englisch | 
| Einband: | Kartoniert / Broschiert | 
| Autor: | Lunn, David Jackson, Chris Best, Nicky | 
| Hersteller: | Chapman and Hall/CRC | 
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de | 
| Maße: | 234 x 156 x 22 mm | 
| Von/Mit: | David Lunn (u. a.) | 
| Erscheinungsdatum: | 02.10.2012 | 
| Gewicht: | 0,608 kg | 
 
                                                         
                                                         
                                             
                                             
                                             
                                             
                                             
                                             
                                             
                                             
                                            