Design and Modeling in Conjoint Analysis with Partial Profiles

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Cook Samantha , Barnard John , Lo Yungtai , Coleman Michael J. , Matthysse Steve , Levy Debra L. , Holzman Philip S. , and Rubin Donald B. (2002), “Working Memory Impairments in Schizophrenia Patients: A Bayesian Bivariate IRT Analysis,” in Case Studies in Bayesian Statistics, Vol. 6, Gatsonis Constantine , eds. New York: Springer-Verlag, 193–206.

Dempster Arthur P. , Laird Nan , and Rubin Donald B. (1977), “Maximum Likelihood from Incomplete Data via the EM Algorithm,” Journal of the Royal Statistical Society, 39(1), 1–38.

Gelman Andrew , Meng Xiao-Li , and Stern Hal (1996), “Posterior Predictive Assessment of Model Fitness via Realized Discrepancies,” Statistica Sinica, 6(4), 733–808.

Geman Stuart , and Geman Donald (1984), “Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 6(November), 721–41.

Little Roderick J.A. , and Rubin Donald B. (1987), Statistical Analysis with Missing Data. New York: John Wiley & Sons.

Little Roderick J.A. , and Rubin Donald B. (2002), Statistical Analysis with Missing Data, 2d ed. New York: John Wiley & Sons.

McLachlan Geoffrey J. , and Krishnan Thriyambakam (1996), The EM Algorithm and Extensions. New York: John Wiley & Sons.

Meng Xiao-Li , and Rubin Donald B. (1993), “Maximum Likelihood Estimation via the ECM Algorithm: A General Framework,” Biometrika, 80(2), 267–78.

Rubin Donald B. (1976), “Inference and Missing Data,” Biometrika, 63(3), 581–92.

Rubin Donald B. (1984), “Bayesianly Justifiable and Relevant Frequency Calculations for the Applied Statistician,” Annals of Statistics, 12, 1151–72.

Rubin Donald B. (1987), Multiple Imputation for Nonresponse in Surveys. New York: John Wiley & Sons.

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Rubin Donald B. , and Wu Yingnian (1997), “Modelling Schizophrenic Behavior Using General Mixture Components,” Biometrics, 53(1), 243–61.

Tanner Martin A. , and Wong Wing Hong (1987), “The Calculation of Posterior Distributions by Data Augmentation,” Journal of the American Statistical Association, 82, 528–50.