Estimating individual preferences with flexible discrete-choice-models.

[1]  Juan de Dios Ortúzar,et al.  On the Use of Mixed RP/SP Models in Prediction: Accounting for Systematic and Random Taste Heterogeneity , 2011, Transp. Sci..

[2]  M. Bliemer,et al.  Construction of experimental designs for mixed logit models allowing for correlation across choice observations , 2010 .

[3]  Leon G. Higley,et al.  Forensic Entomology: An Introduction , 2009 .

[4]  Joan L. Walker,et al.  Taste heterogeneity, correlation and elasticities in latent class choice models , 2009 .

[5]  John M. Rose,et al.  Stated choice experimentation, contextual influences and food choice: A case study , 2008 .

[6]  Elisabetta Cherchi,et al.  Empirical Identification in the Mixed Logit Model: Analysing the Effect of Data Richness , 2008 .

[7]  J. Barreiro-Hurlé,et al.  Is there a market for functional wines? Consumer preferences and willingness to pay for resveratrol-enriched red wine , 2008 .

[8]  John M. Rose,et al.  Designing efficient stated choice experiments in the presence of reference alternatives , 2008 .

[9]  D. Cox,et al.  Australian consumers’ preferences for conventional and novel sources of long chain omega-3 fatty acids: A conjoint study , 2008 .

[10]  John M. Rose,et al.  Combining RP and SP data: biases in using the nested logit ‘trick’: contrasts with flexible mixed logit incorporating panel and scale effects , 2008 .

[11]  K. Train,et al.  Estimation on stated-preference experiments constructed from revealed-preference choices , 2008 .

[12]  Joan L. Walker,et al.  Identification of parameters in normal error component logit-mixture (NECLM) models , 2007 .

[13]  Juan de Dios Ortúzar,et al.  Modeling Discrete Choices in the Presence of Inertia and Serial Correlation , 2007, Transp. Sci..

[14]  Juan de Dios Ortúzar,et al.  Cuantificando la Percepción de Inseguridad Ciudadana en Barrios de Escasos Recursos , 2006 .

[15]  L. M. Martínez,et al.  Influence of purchase place and consumption frequency over quality wine preferences , 2006 .

[16]  Howard R. Moskowitz,et al.  The applications of conjoint analysis and their possible uses in Sensometrics , 2006 .

[17]  Larry Lockshin,et al.  Using simulations from discrete choice experiments to measure consumer sensitivity to brand, region, price, and awards in wine choice , 2006 .

[18]  Jordan J. Louviere,et al.  Quick and easy choice sets: Constructing optimal and nearly optimal stated choice experiments , 2005 .

[19]  J. Ortúzar,et al.  A semi-compensatory discrete choice model with explicit attribute thresholds of perception , 2005 .

[20]  D. Hensher,et al.  Assessing the influence of design dimensions on stated choice experiment estimates , 2005 .

[21]  Michel Wedel,et al.  Heterogeneous Conjoint Choice Designs , 2005 .

[22]  Juan de Dios Ortúzar,et al.  Willingness-to-Pay Estimation with Mixed Logit Models: Some New Evidence , 2005 .

[23]  Paula Iragüen,et al.  Willingness-to-pay for reducing fatal accident risk in urban areas: an Internet-based Web page stated preference survey. , 2004, Accident; analysis and prevention.

[24]  W. Greene,et al.  The Mixed Logit model: The state of practice , 2003 .

[25]  Chandra R. Bhat,et al.  A UNIFIED MIXED LOGIT FRAMEWORK FOR MODELING REVEALED AND STATED PREFERENCES: FORMULATION AND APPLICATION TO CONGESTION PRICING ANALYSIS IN THE SAN FRANCISCO BAY AREA , 2002 .

[26]  Barbara Kanninen,et al.  Optimal Design for Multinomial Choice Experiments , 2002 .

[27]  Joan L. Walker,et al.  Hybrid Choice Models: Progress and Challenges , 2002 .

[28]  Juan Antonio Carrasco,et al.  Review and assessment of the nested logit model , 2002 .

[29]  K. Train,et al.  On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths , 2000 .

[30]  Peter R. Stopher,et al.  Understanding Travel Behaviour in an Era of Change , 1996 .

[31]  Joel Huber,et al.  The Importance of Utility Balance in Efficient Choice Designs , 1996 .

[32]  Peter Suedfeld,et al.  Perceived safety from crime in the urban environment , 1993 .

[33]  Zata M Vickers,et al.  Incorporating Tasting into a conjoint Analysis of Taste, Health Claim, Price and brand for Purchasing Strawberry Yogurt. , 1993 .

[34]  Juan de Dios Ortúzar,et al.  Modelling Transport, 2nd Edition , 1990 .

[35]  R. P. McDonald,et al.  Structural Equations with Latent Variables , 1989 .

[36]  Moshe Ben-Akiva,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1985 .

[37]  J. de D. Ortúzar,et al.  TRAVEL DEMAND AND RESPONSE ANALYSIS - SOME INTEGRATING THEMES , 1982 .

[38]  H. Williams,et al.  Behavioural theories of dispersion and the mis-specification of travel demand models☆ , 1982 .

[39]  D. McFadden,et al.  URBAN TRAVEL DEMAND - A BEHAVIORAL ANALYSIS , 1977 .

[40]  H. Williams.  On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit , 1977 .

[41]  Joan L. Walker,et al.  Identification and Estimation of Mixed Logit Models Under Simulation Methods , 2006 .

[42]  Ricardo Alvarez-Daziano,et al.  Testing Mixed Logit and Probit Models by Simulation , 2005 .

[43]  K. Train.  Discrete Choice Methods with Simulation by Kenneth E. Train , 2003 .

[44]  Joan L. Walker.  Mixed Logit (or Logit Kernel) Model: Dispelling Misconceptions of Identification , 2002 .

[45]  A. Daly,et al.  MODELS USING MIXED STATED-PREFERENCE AND REVEALED-PREFERENCE INFORMATION. , 1991 .

[46]  D. Hensher,et al.  DETERMINANTS of travel choice , 1978 .