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Revenue Management and Survival Analysis in the Automobile Industry
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Revenue Management and Survival Analysis in the Automobile Industry
von: André Jerenz
Gabler Verlag, 2008
ISBN: 9783834998408
187 Seiten, Download: 1342 KB
 
Format:  PDF
geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop

Typ: B (paralleler Zugriff)

 

 
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Inhaltsverzeichnis

  Foreword 6  
  Acknowledgements 8  
  Contents 10  
  List of Figures 14  
  List of Tables 16  
  Nomenclature 18  
  Introduction 20  
     1.1 Motivation 20  
     1.2 Outline and Research Contribution 21  
  Revenue Management and the Automobile Industry 24  
     2.1 Concept of Revenue Management 24  
     2.2 The Automobile Industry 33  
     2.3 Revenue Management in the Automobile Industry 38  
     2.4 Price-Based Revenue Management in the Used Car Sector 42  
     2.5 Summary 49  
  Modeling the Price-Based Revenue Management Problem 50  
     3.1 Introduction 50  
     3.2 Basic Continuous-Time Model 54  
     3.3 Stochastic Discrete-Time Model 63  
     3.4 Finite Price Sets 67  
     3.5 Extensions of the Basic Problem 73  
     3.6 The Complete Model 78  
     3.7 Summary 80  
  Survival Analysis: Estimation of the Price- Response Function 82  
     4.1 Reservation Price and Price Response Function 83  
     4.2 Survival Analysis 89  
     4.3 Parametric Regression Modeling 100  
     4.4 Estimation of the Price Response Function 109  
     4.5 Summary 115  
  Validation of the Survival Analysis Approach: a Case Study within the Used Car Market 116  
     5.1 Introduction 116  
     5.2 Used Car Study 118  
     5.3 Cox Model 123  
     5.4 Accelerated Failure Time Model 135  
     5.5 Spline Regression Extended Model 142  
     5.6 Presentation of the Extended Log-Logistic Model 149  
     5.7 Summary 152  
  Computational Analysis: Proof of Concept 154  
     6.1 General Description of the Revenue Management Program 154  
     6.2 Case Study for a Selected Used Vehicle 157  
     6.3 Assessment of Potential for Profit Enhancement 166  
     6.4 Summary 171  
  Conclusions and Further Directions 172  
     7.1 Directions for Future Research 172  
     7.2 Summary 174  
  References 176  
  Index 186  


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