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