Advanced textbook; many examples and exercises, often with hints or solutions; code provided for computational examples and simulations.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Preface 1. Introduction 2. Events and probabilities 3. Random variables, means and variances 4. Conditioning and independence 5. Generating functions and the central limit theorem 6. Confidence intervals for 1-parameter models 7. Conditional pdfs and multi-parameter Bayesian statistics 8. Linear models, ANOVA etc 9. Some further probability 10. Quantum probability and quantum computing Appendix A. Some prerequisites and addenda Appendix B. Discussion of some selected exercises Appendix C. Tables Appendix D. A small sample of the literature Bibliography Index.
Preface 1. Introduction 2. Events and probabilities 3. Random variables, means and variances 4. Conditioning and independence 5. Generating functions and the central limit theorem 6. Confidence intervals for 1-parameter models 7. Conditional pdfs and multi-parameter Bayesian statistics 8. Linear models, ANOVA etc 9. Some further probability 10. Quantum probability and quantum computing Appendix A. Some prerequisites and addenda Appendix B. Discussion of some selected exercises Appendix C. Tables Appendix D. A small sample of the literature Bibliography Index.
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