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Review of Marketing Science, ISSN 2194-5985, 06/2016, Volume 14, Issue 1, pp. 21 - 67
We determine efficient designs for choice-based conjoint analysis for the semi-parametric mixed logit model which captures latent consumer heterogeneity in a... 
multinomial logit design | D-optimality | entropy | estimation accuracy | heterogeneity | semi-parametric semi-Bayesian mixed logit design
Journal Article
Transport Policy, ISSN 0967-070X, 2011, Volume 18, Issue 1, pp. 217 - 227
This article describes the methodology used to study the quality of service desired by users of a public transport system. The desired quality is different... 
Efficient design | Multinomial logit | Focus groups | Desired quality | Stated preference survey | TRANSPORTATION | ECONOMICS | Desired quality Stated preference survey Efficient design Multinomial logit Focus groups | Policies | Drivers | Methodology | Categories | Journeys | Mathematical models | Calibration | Transport | Marketing
Journal Article
Communications in Statistics - Theory and Methods, ISSN 0361-0926, 03/2013, Volume 42, Issue 5, pp. 867 - 882
Conjoint analysis is concerned with understanding how people make choice between products or services (alternatives) or a combination of product and service... 
Multinomial Logit Model (MNL) | Discrete choice experiments | Locally D-optimal design | D-optimal criterion | Information matrix | STATISTICS & PROBABILITY | Economic models | Consumer behavior | Economic theory | Conjoint analysis | Alternatives | Design optimization | Design engineering | Utilities | Logit models | Customers | Mathematical models | Statistics | Optimization
Journal Article
Manufacturing & Service Operations Management, ISSN 1523-4614, 01/2005, Volume 7, Issue 3, pp. 172 - 187
Journal Article
Concurrent Engineering, ISSN 1063-293X, 12/2012, Volume 20, Issue 4, pp. 335 - 347
Journal Article
Communications in Statistics - Theory and Methods, ISSN 0361-0926, 12/2019, Volume 48, Issue 23, pp. 5877 - 5888
In choice experiments the process of decision-making can be more complex than the proposed by the Multinomial Logit Model (MNL). In these scenarios, models... 
nested multinomial logit model | optimal design | Information matrix | Economic models | Regression analysis | Logit models | Decision making | Alternatives
Journal Article
Journal of Statistical Planning and Inference, ISSN 0378-3758, 2010, Volume 140, Issue 4, pp. 851 - 861
Despite the fact that many conjoint choice experiments offer respondents a no-choice option in every choice set, the optimal design of conjoint choice... 
Nested logit model | No-choice option | Choice-based conjoint | Information loss | Multinomial logit model | PAIRED-COMPARISON DESIGNS | STATISTICS & PROBABILITY
Journal Article
01/2012, ISBN 0470530685, Volume 3, 48
Book Chapter
Econometric Reviews, ISSN 0747-4938, 2002, Volume 21, Issue 1, pp. 135 - 146
The paper states conditions for minimal variation within the explanatory variables such that the maximum likelihood estimate of the coefficient vector in the... 
Experimental design; Maximum likelihood; Multinomial logit; JEL Classification: C13; C25
Journal Article
Tourism Management, ISSN 0261-5177, 12/2017, Volume 63, pp. 439 - 451
This study used discrete choice modeling to identify the moderating role of context in the effects of cognitive, affective, and sensory attributes on hotel... 
D-optimal design | Random parameter logit (RPL) model | Choice attributes | Multinomial logit (MNL) model | Choice context | DESIGN | TOTAL CUSTOMER EXPERIENCE | MIXED LOGIT | MANAGEMENT | STATE | MODEL | VALUATION | SATISFACTION | IMPACT | PREFERENCES | BELIEFS | HOSPITALITY, LEISURE, SPORT & TOURISM | ENVIRONMENTAL STUDIES | Travelers | Product development | Business schools | Analysis
Journal Article
Landscape and Urban Planning, ISSN 0169-2046, 2011, Volume 99, Issue 1, pp. 1 - 8
▶ Home landscapes with more trees are generally preferred. ▶ Students who majored in social sciences are more inclined to choose a neat, well-kept environment... 
Urban forestry | Visual preference survey | Landscape design | Student | Multinomial logit model | MANAGEMENT | BEHAVIOR | ENVIRONMENT | ATTITUDES | AESTHETICS | GEOGRAPHY, PHYSICAL | URBAN STUDIES | INDICATORS | POLLS | ECOLOGY | ENVIRONMENTAL STUDIES | GEOGRAPHY | Economics | Landscapes | Architecture | Students | Education | Parents | Ecology | Wildlife management | Ratings
Journal Article
Journal of Statistical Planning and Inference, ISSN 0378-3758, 03/2020, Volume 205, pp. 193 - 202
Discrete choice experiments have gained importance over the years while supporting the marketing industry significantly. Several author-groups have contributed... 
Choice design | Effects coding | Orthonormal coding | Information matrix | Choice set | Multinomial logit model | STATISTICS & PROBABILITY | MULTIFACTOR DESIGNS
Journal Article
Journal of Statistical Theory and Practice, ISSN 1559-8608, 01/2018, Volume 12, Issue 1, pp. 82 - 92
Under the multinomial logit model, designs for choice experiments are usually based on an a priori assumption that either only the main effects of the factors... 
choice set | Hadamard matrix | multinomial logit model | 62K05 | universal optimality | 05B15 | Choice experiment | Statistical Theory and Methods | Probability Theory and Stochastic Processes | Statistics, general | Statistics
Journal Article
Journal of Choice Modelling, ISSN 1755-5345, 09/2019, Volume 32, p. 100136
A method is presented which facilitates the practical construction of designs for stated choice experiments in which the choice sets are pairs of partial... 
Choice experiments | Experimental design | Partial profiles | Multinomial logit model | SAMPLE-SIZE REQUIREMENTS | ECONOMICS | PAIRED COMPARISONS | HEALTH-CARE
Journal Article
Journal Article
2007 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC2007, 2008, Volume 6, pp. 175 - 185
Conference Proceeding
International Journal of Research in Marketing, ISSN 0167-8116, 2008, Volume 25, Issue 2, pp. 94 - 103
In a classical conjoint choice experiment, respondents choose one profile from each choice set that has to be evaluated. However, in real life, the respondent... 
Model-robust design | Bayesian optimal design | Choice-based conjoint | Nested logit | D-optimality | Conjoint analysis | Multinomial logit model | nested logit | ATTRIBUTES | multinomial logit model | choice-based conjoint | conjoint analysis | BUSINESS | model-robust design | Models | Algorithms | Universities and colleges | Analysis
Journal Article
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