Van-Nam (Hrsg.) Huynh
                        
                                        
                        
    
    
            
            
            
                                                                
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                                    
    
                    
                
                    
    
    
                
    
                    
            
                
            
            
                                    
            
        
                                                
                Causal Inference in Econometrics
Buch
            This bookis devoted to the analysis of causal inference which  is one of the most difficult tasks in dataanalysis: when two phenomena are observed to be related, it is often difficultto decide whether one of them causally influences the other one, or whetherthese two phenomena have a common cause. This analysis is the main focus ofthis volume. To get agood understanding of the causal inference, it is important to have models ofeconomic phenomena which are as accurate as possible. Because of this need,this volume also contains papers that use non-traditional economic models, suchas fuzzy models and models obtained by using neural networks and…
        
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                                    Beschreibung
                        This bookis devoted to the analysis of causal inference which  is one of the most difficult tasks in dataanalysis: when two phenomena are observed to be related, it is often difficultto decide whether one of them causally influences the other one, or whetherthese two phenomena have a common cause. This analysis is the main focus ofthis volume. To get agood understanding of the causal inference, it is important to have models ofeconomic phenomena which are as accurate as possible. Because of this need,this volume also contains papers that use non-traditional economic models, suchas fuzzy models and models obtained by using neural networks and data miningtechniques. It also contains papers that apply different econometric models toanalyze real-life economic dependencies.
                    
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            Produktdetails
Weitere Autoren: Kreinovich, Vladik (Hrsg.) / Sriboonchitta, Songsak (Hrsg.)
- ISBN: 978-3-319-80108-7
- EAN: 9783319801087
- Produktnummer: 28396855
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2018
- Seitenangabe: 652 S.
- Masse: H23.5 cm x B15.5 cm x D3.4 cm 972 g
- Auflage: Softcover reprint of the original 1st ed. 2016
- Abbildungen: Paperback
- Gewicht: 972
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