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http://dx.doi.org/10.1201/9781584888567
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Front MatterAbstract - Hi-Res PDF (657 KB) - PDF w/links (658 KB)
Chapter 1. Introduction to ProbabilityAbstract - Hi-Res PDF (328 KB) - PDF w/links (328 KB)
Chapter 2. Random vectors and joint distributionsAbstract - Hi-Res PDF (390 KB) - PDF w/links (391 KB)
Chapter 3. Convergence of Random VariablesAbstract - Hi-Res PDF (422 KB) - PDF w/links (423 KB)
Chapter 4. Principles of Point EstimationAbstract - Hi-Res PDF (402 KB) - PDF w/links (402 KB)
Chapter 5. Likelihood-Based EstimationAbstract - Hi-Res PDF (417 KB) - PDF w/links (417 KB)
Chapter 6. Optimality in EstimationAbstract - Hi-Res PDF (225 KB) - PDF w/links (225 KB)
Chapter 7. Interval Estimation and Hypothesis TestingAbstract - Hi-Res PDF (395 KB) - PDF w/links (396 KB)
Chapter 8. Linear and Generalized Linear ModelsAbstract - Hi-Res PDF (305 KB) - PDF w/links (305 KB)
Chapter 9. Goodness-of-FitAbstract - Hi-Res PDF (233 KB) - PDF w/links (234 KB)
ReferencesAbstract - Hi-Res PDF (52 KB) - PDF w/links (53 KB)
