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Appendix B - Matrix computation
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3 - R
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Preface
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7 - Linear models
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4 - Theory of maximum likelihood estimation
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1 - Random variables
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Index
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Appendix C - Random number generation
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Contents
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References
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2 - Statistical models and inference
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6 - Bayesian computation
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5 - Numerical maximum likelihood estimation
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6 - Classification of Data
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Frontmatter
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1 - Introduction
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Appendix A - Curvilinear Integrals
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Appendix B - Eigenvalue Inequalities
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11 - Large-Dimensional Spiked Population Models
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Dedication
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