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List augmentation with model based multiple imputation: a case study using a mixed-outcome factor model

dc.contributor.authorKamakura, Wagner A.en_US
dc.contributor.authorWedel, Michelen_US
dc.date.accessioned2010-06-01T20:51:23Z
dc.date.available2010-06-01T20:51:23Z
dc.date.issued2003-02en_US
dc.identifier.citationKamakura, Wagner A.; Wedel, Michel (2003). "List augmentation with model based multiple imputation: a case study using a mixed-outcome factor model." Statistica Neerlandica 57(1): 46-57. <http://hdl.handle.net/2027.42/73954>en_US
dc.identifier.issn0039-0402en_US
dc.identifier.issn1467-9574en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/73954
dc.format.extent270590 bytes
dc.format.extent3109 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherBlackwell Publishingen_US
dc.rights2003 VVSen_US
dc.subject.otherFactor Analysisen_US
dc.subject.otherSimulated Likelihooden_US
dc.subject.otherMultiple Imputationen_US
dc.titleList augmentation with model based multiple imputation: a case study using a mixed-outcome factor modelen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationotherFuqua School of Business, Duke University, P.O. Box 90120, Durham, NC 27708, USAen_US
dc.contributor.affiliationotherUniversity of Michican Business School, 701 Tappan Street, Ann Arbor, MI 48109, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/73954/1/1467-9574.00220.pdf
dc.identifier.doi10.1111/1467-9574.00220en_US
dc.identifier.sourceStatistica Neerlandicaen_US
dc.identifier.citedreferenceAnderson, E. B. ( 1980 ), Discrete statistical models with social science applications, North Holland, New York.en_US
dc.identifier.citedreferenceBartholomew, D. J. and M. Knott ( 1999 ), Latent variable models and factor analysis, Edward Arnold, Oxford.en_US
dc.identifier.citedreferenceEfron, B. and R. J. Tibshirani ( 1994 ), An introduction to the bootstrap, Chapman and Hall, London.en_US
dc.identifier.citedreferenceGoodman, J. ( 1992 ), Leveraging the customer database to your competitive advantage, Direct Marketing 55, 26 – 27.en_US
dc.identifier.citedreferenceKamakura, W. A. and M. Wedel ( 2000 ), Factor analysis and missing data, Journal of Marketing Research 37, 490 – 498.en_US
dc.identifier.citedreferenceKamakura, W. A., F. De Rosa, F. M. Wedel and J. A. Mazzon ( 2002 ), Cross-selling financial services with database marketing, International Journal of Research in Marketing 19, forthcoming.en_US
dc.identifier.citedreferenceLee, L. F. ( 1995 ), Asymptotic bias in simulated maximum likelihood estimation of discrete choice models, Econometric Theory 15, 437 – 483.en_US
dc.identifier.citedreferenceLittle, R. J. A. and D. B. Rubin ( 1987 ), Statistical analysis with missing data, Wiley, New York.en_US
dc.identifier.citedreferenceMcCullagh, P. and J. A. Nelder ( 1989 ), Generalized linear models, Chapman and Hall, New York.en_US
dc.identifier.citedreferenceMcFadden, D. ( 1989 ), A method of simulated moments for estimation of discrete response models without numerical integration, Econometrika 57, 995 – 1026.en_US
dc.identifier.citedreferenceMoustaki, I. and M. Knott ( 2000 ), Generalised latent trait models, Psychometrika 65, 391 – 411.en_US
dc.identifier.citedreferenceRubin, D. B. ( 1987 ), Mulple imputation of nonresponse in surveys, Wiley, New York.en_US
dc.identifier.citedreferenceSchafer, J. L. ( 1997 ). Analysis of incomplete multivariate data, Chapman and Hall, London.en_US
dc.identifier.citedreferenceSchwartz, G. ( 1978 ), Estimating the dimension of a model, Annals of Statistics 6, 461 – 464.en_US
dc.identifier.citedreferenceStern, S. ( 1997 ), Simulation-based estimation, Journal of Economic Literature 35, 2006 – 2039.en_US
dc.identifier.citedreferenceWedel, M. and W. A. Kamakura ( 2001 ), Factor analysis with mixed observed and latent variables in the exponential family, Psychometrika 66, 515 – 530.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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