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Journal of the American Statistical Association Volume 89, 1994 - Issue 425
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Theory and Method

A Predictive Approach to the Analysis of Designed Experiments

Joseph G. Ibrahim Division of Statistics, Northern Illinois University, DeKalb, IL, 60115
&
Purushottam W. Laud Division of Statistics, Northern Illinois University, DeKalb, IL, 60115
Pages 309-319 | Received 01 Aug 1991, Published online: 27 Feb 2012

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Joseph G. Ibrahim, Ming-Hui Chen & Sungduk Kim. (2008) Bayesian variable selection for the Cox regression model with missing covariates. Lifetime Data Analysis 14:4, pages 496-520.
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Joseph G. Ibrahim, Ming‐Hui Chen & Steven N. MacEachern. (2008) Bayesian variable selection for proportional hazards models. Canadian Journal of Statistics 27:4, pages 701-717.
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Joseph G. Ibrahim & Kenneth P. Kleinman. 1998. Practical Nonparametric and Semiparametric Bayesian Statistics. Practical Nonparametric and Semiparametric Bayesian Statistics 89 114 .
Ehsan S. Soofi. 1997. Applying Maximum Entropy to Econometric Problems. Applying Maximum Entropy to Econometric Problems 25 83 .
James O. Berger & Luis R. Pericchi. 1996. Modelling and Prediction Honoring Seymour Geisser. Modelling and Prediction Honoring Seymour Geisser 276 293 .
Dimitris Korobilis & Kenichi Shimizu. (2021) Bayesian Approaches to Shrinkage and Sparse Estimation. SSRN Electronic Journal.
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Thomas Plümper & Eric Neumayer. (2012) Model Uncertainty and Robustness Tests: Towards a New Logic of Statistical Inference. SSRN Electronic Journal.
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