{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T03:42:43Z","timestamp":1761709363986},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2017,6,14]],"date-time":"2017-06-14T00:00:00Z","timestamp":1497398400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["OR Spectrum"],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1007\/s00291-017-0483-1","type":"journal-article","created":{"date-parts":[[2017,6,14]],"date-time":"2017-06-14T11:01:26Z","timestamp":1497438086000},"page":"1035-1053","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Monte Carlo study of design-generating algorithms for the latent class mixed logit model"],"prefix":"10.1007","volume":"39","author":[{"given":"Andreas","family":"Falke","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harald","family":"Hruschka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,6,14]]},"reference":[{"key":"483_CR1","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1509\/jmkr.39.1.87.18936","volume":"39","author":"RL Andrews","year":"2002","unstructured":"Andrews RL, Ansari A, Currim IS (2002) Hierarchical bayes versus finite mixture conjoint analysis models: a comparison of fit, prediction and partworth recovery. J Mark Res 39:87\u201398","journal-title":"J Mark Res"},{"key":"483_CR2","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198522546.001.0001","volume-title":"Optimum experimental designs","author":"AC Atkinson","year":"1992","unstructured":"Atkinson AC, Donev AN (1992) Optimum experimental designs. Oxford University Press, Clarendon"},{"key":"483_CR3","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1007\/s00180-007-0023-6","volume":"22","author":"T Baier","year":"2007","unstructured":"Baier T, Neuwirth E (2007) Excel : COM : R. Comput Stat 22:91\u2013108","journal-title":"Comput Stat"},{"key":"483_CR4","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1016\/S0191-2615(00)00014-X","volume":"35","author":"CR Bhat","year":"2001","unstructured":"Bhat CR (2001) Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model. Transp Res Part B 35:677\u2013693","journal-title":"Transp Res Part B"},{"key":"483_CR5","doi-asserted-by":"crossref","first-page":"720","DOI":"10.1016\/j.trb.2009.12.004","volume":"44","author":"MCJ Bliemer","year":"2010","unstructured":"Bliemer MCJ, Rose JM (2010) Construction of experimental designs for mixed logit models allowing for correlation across choice observations. Transp Res Part B 44:720\u2013734","journal-title":"Transp Res Part B"},{"key":"483_CR6","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1214\/ss\/1177009939","volume":"10","author":"K Chaloner","year":"1995","unstructured":"Chaloner K, Verdinelli I (1995) Bayesian experimental design: a review. Stat Sci 10:273\u2013304","journal-title":"Stat Sci"},{"key":"483_CR7","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1509\/jmkr.40.2.146.19229","volume":"40","author":"R Dhar","year":"2003","unstructured":"Dhar R, Simonson I (2003) The effect of forced choice on choice. J Mark Res 40:146\u2013160","journal-title":"J Mark Res"},{"key":"483_CR8","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1287\/mksc.1070.0291","volume":"26","author":"T Evgeniou","year":"2007","unstructured":"Evgeniou T, Pontil M, Toubia O (2007) A convex optimization approach to modeling consumer heterogeneity in conjoint estimation. Mark Sci 26:805\u2013818","journal-title":"Mark Sci"},{"key":"483_CR9","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1016\/j.jeem.2006.10.007","volume":"53","author":"S Ferrini","year":"2007","unstructured":"Ferrini S, Scarpa R (2007) Designs with a-priori information for nonmarket valuation with choice-experiments: a monte carlo study. J Environ Econ Manage 53:342\u2013363","journal-title":"J Environ Econ Manage"},{"key":"483_CR10","volume-title":"Economic analysis","author":"WH Greene","year":"1997","unstructured":"Greene WH (1997) Economic analysis. Prentice Hall, Upper Saddle River"},{"key":"483_CR11","doi-asserted-by":"crossref","first-page":"1897","DOI":"10.1080\/00036846.2011.650325","volume":"45","author":"WH Greene","year":"2013","unstructured":"Greene WH, Hensher DA (2013) Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model. Appl Econ 45:1897\u20131902","journal-title":"Appl Econ"},{"key":"483_CR12","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-3-540-71404-0_1","volume-title":"Conjoint measurement: methods and application","author":"A Gustafsson","year":"2007","unstructured":"Gustafsson A, Herrmann A, Huber F (2007) Conjoint analysis as an instrument of market research practice. In: Gustafsson A, Herrmann A, Huber F (eds) Conjoint measurement: methods and application. Springer, Berlin, pp 3\u201330"},{"key":"483_CR13","doi-asserted-by":"crossref","first-page":"307","DOI":"10.2307\/3152127","volume":"33","author":"J Huber","year":"1996","unstructured":"Huber J, Zwerina K (1996) The importance of utility balance in efficient choice designs. J Mark Res 33:307\u2013317","journal-title":"J Mark Res"},{"key":"483_CR14","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1509\/jmkr.39.2.214.19080","volume":"39","author":"B Kanninen","year":"2002","unstructured":"Kanninen B (2002) Optimal design for multinomial choice experiments. J Mark Res 39:214\u2013222","journal-title":"J Mark Res"},{"key":"483_CR15","unstructured":"Kessels R, Goos P, Vandebroek M (2004) Comparing algorithms and criteria for designing Bayesian conjoint choice experiments. DTEW Research Report 0427, pp 1\u201338"},{"key":"483_CR16","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1509\/jmkr.43.3.409","volume":"43","author":"R Kessels","year":"2006","unstructured":"Kessels R, Goos P, Vandebroek M (2006) A comparison of criteria to design efficiency choice experiments. J Mark Res 43:409\u2013419","journal-title":"J Mark Res"},{"key":"483_CR17","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1198\/jbes.2009.0026","volume":"27","author":"R Kessels","year":"2009","unstructured":"Kessels R, Jones B, Goos P, Vandebroek M (2009) An efficient algorithm for constructing Bayesian optimal choice designs. J Bus Econ Stat 27:279\u2013291","journal-title":"J Bus Econ Stat"},{"key":"483_CR18","doi-asserted-by":"crossref","first-page":"1395","DOI":"10.1016\/S1573-4412(84)02016-X","volume-title":"Handbook of econometrics","author":"D McFadden","year":"1984","unstructured":"McFadden D (1984) Econometric analysis of qualitative response models. In: Griliches Z, Intriligator MD (eds) Handbook of econometrics, vol 2. North Holland, New York, pp 1395\u20131457"},{"key":"483_CR19","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1002\/1099-1255(200009\/10)15:5<447::AID-JAE570>3.0.CO;2-1","volume":"15","author":"D McFadden","year":"2000","unstructured":"McFadden D, Train KE (2000) Mixed MNL models for discrete response. J Appl Econ 15:447\u2013470","journal-title":"J Appl Econ"},{"key":"483_CR20","unstructured":"Nychka D, Furrer R, Paige J, Sain S (2015) Fields: tools for spatial data. R Package Version 9.0. http:\/\/CRAN.R-project.org\/package=fields . Accessed 9 May 2016"},{"key":"483_CR21","doi-asserted-by":"crossref","unstructured":"Rose JM, Scarpa R, Bliemer MCJ (2009) Incorporating model uncertainty into the generation of efficient stated choice experiments: a model averaging approach. Working Paper, Institute of Transport and Logistics Studies, University of Sydney","DOI":"10.1080\/01441640902827623"},{"key":"483_CR22","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1509\/jmkr.38.4.430.18904","volume":"38","author":"Z S\u00e1ndor","year":"2001","unstructured":"S\u00e1ndor Z, Wedel M (2001) Designing conjoint choice experiments using managers\u2019 prior beliefs. J Mark Res 38:430\u2013444","journal-title":"J Mark Res"},{"key":"483_CR23","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1287\/mksc.21.4.455.131","volume":"21","author":"Z S\u00e1ndor","year":"2002","unstructured":"S\u00e1ndor Z, Wedel M (2002) Profile construction in experimental choice designs for mixed logit models. Mark Sci 21:455\u2013475","journal-title":"Mark Sci"},{"key":"483_CR24","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1111\/j.1467-8489.2007.00436.x","volume":"52","author":"R Scarpa","year":"2008","unstructured":"Scarpa R, Rose JM (2008) Design efficiency for non-market valuation with choice modeling: how to measure it, what to report and why. Aust J Agric Resour Econ 52:253\u2013282","journal-title":"Aust J Agric Resour Econ"},{"key":"483_CR25","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/j.ijresmar.2005.09.003","volume":"22","author":"DJ Street","year":"2005","unstructured":"Street DJ, Burgess L, Louviere JJ (2005) Quick and easy choice sets: constructing optimal and nearly optimal stated choice experiments. Int J Res Mark 22:459\u2013470","journal-title":"Int J Res Mark"},{"key":"483_CR26","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1509\/jmkr.41.1.116.25082","volume":"41","author":"O Toubia","year":"2004","unstructured":"Toubia O, Hauser JR, Simester DI (2004) Polyhedral methods for adaptive choice-based conjoint analysis. J Mark Res 41:116\u2013131","journal-title":"J Mark Res"},{"key":"483_CR27","unstructured":"Train KE (2000) Halton sequences for mixed logit. Working Paper, Department of Economics, University of California at Berkeley"},{"key":"483_CR28","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511753930","volume-title":"Discrete choice methods with simulation","author":"KE Train","year":"2003","unstructured":"Train KE (2003) Discrete choice methods with simulation. Cambridge University Press, New York"},{"key":"483_CR29","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/S1755-5345(13)70022-8","volume":"1","author":"KE Train","year":"2008","unstructured":"Train KE (2008) EM algorithms for nonparametric estimation of mixing distributions. J Choice Model 1:40\u201369","journal-title":"J Choice Model"},{"key":"483_CR30","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1007\/s10640-010-9401-6","volume":"48","author":"B Vermeulen","year":"2011","unstructured":"Vermeulen B, Goos P, Scarpa R, Vandebroek M (2011) Bayesian conjoint choice designs for measuring willingness to pay. Environ Resour Econ 48:129\u2013149","journal-title":"Environ Resour Econ"},{"key":"483_CR31","doi-asserted-by":"crossref","first-page":"73","DOI":"10.2307\/3152014","volume":"33","author":"M Vriens","year":"1996","unstructured":"Vriens M, Wedel M, Wilms T (1996) Metric conjoint segmentation methods: a monte carlo comparison. J Mark Res 33:73\u201385","journal-title":"J Mark Res"},{"key":"483_CR32","doi-asserted-by":"crossref","DOI":"10.4135\/9781412985161","volume-title":"Multiple attribute decision making: an introduction","author":"KP Yoon","year":"1995","unstructured":"Yoon KP, Hwang C (1995) Multiple attribute decision making: an introduction. SAGE publications, California"},{"key":"483_CR33","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1287\/mksc.1080.0386","volume":"28","author":"J Yu","year":"2009","unstructured":"Yu J, Goos P, Vandebroek M (2009) Efficient conjoint choice designs in the presence of respondent heterogeneity. Mark Sci 28:122\u2013135","journal-title":"Mark Sci"}],"container-title":["OR Spectrum"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00291-017-0483-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00291-017-0483-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00291-017-0483-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T19:33:26Z","timestamp":1719257606000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00291-017-0483-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,14]]},"references-count":33,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2017,10]]}},"alternative-id":["483"],"URL":"https:\/\/doi.org\/10.1007\/s00291-017-0483-1","relation":{},"ISSN":["0171-6468","1436-6304"],"issn-type":[{"value":"0171-6468","type":"print"},{"value":"1436-6304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,6,14]]}}}