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http://dx.doi.org/10.1201/9781439821862
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Front MatterAbstract - Hi-Res PDF (189 KB) - PDF w/links (98 KB)
Chapter 1. IntroductionAbstract - Hi-Res PDF (45 KB) - PDF w/links (45 KB)
Chapter 2. AssumptionsAbstract - Hi-Res PDF (247 KB) - PDF w/links (249 KB)
Chapter 3. EM and data augmentationAbstract - Hi-Res PDF (578 KB) - PDF w/links (541 KB)
Chapter 4. Inference By Data AugmentationAbstract - Hi-Res PDF (1119 KB) - PDF w/links (446 KB)
Chapter 5. Methods For Normal DataAbstract - Hi-Res PDF (2393 KB) - PDF w/links (555 KB)
Chapter 6. More On The Normal ModelAbstract - Hi-Res PDF (1036 KB) - PDF w/links (743 KB)
Chapter 7. Methods For Categorical DataAbstract - Hi-Res PDF (742 KB) - PDF w/links (620 KB)
Chapter 8. Loglinear ModelsAbstract - Hi-Res PDF (677 KB) - PDF w/links (564 KB)
Chapter 9. Methods For Mixed DataAbstract - Hi-Res PDF (795 KB) - PDF w/links (590 KB)
Chapter 10. Further TopicsAbstract - Hi-Res PDF (80 KB) - PDF w/links (81 KB)
Appendix A. Data ExamplesAbstract - Hi-Res PDF (37 KB) - PDF w/links (38 KB)
Appendix B. Storage of Categorical DataAbstract - Hi-Res PDF (57 KB) - PDF w/links (71 KB)
Appendix C. SoftwareAbstract - Hi-Res PDF (24 KB) - PDF w/links (25 KB)
ReferencesAbstract - Hi-Res PDF (78 KB) - PDF w/links (79 KB)
