Probability for Statisticians

This 2nd edition textbook offers a rigorous introduction to measure theoretic probability with particular attention to topics of interest to mathematical statisticians—a textbook for courses in probability for students in mathematical statistics. It is recommended to anyone interested in the probabi...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Shorack, Galen R. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Έκδοση:2nd ed. 2017.
Σειρά:Springer Texts in Statistics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Preface
  • Use of This Text
  • Definition of Symbols
  • Chapter 1. Measures
  • Chapter 2. Measurable Functions and Convergence
  • Chapter 3. Integration
  • Chapter 4 Derivatives via Signed Measures
  • Chapter 5. Measures and Processes on Products
  • Chapter 6. Distribution and Quantile Functions
  • Chapter 7. Independence and Conditional Distributions
  • Chapter 8. WLLN, SLLN, LIL, and Series
  • Chapter 9. Characteristic Functions and Determining Classes
  • Chapter 10. CLTs via Characteristic Functions
  • Chapter 11. Infinitely Divisible and Stable Distributions
  • Chapter 12. Brownian Motion and Empirical Processes
  • Chapter 13. Martingales
  • Chapter 14. Convergence in Law on Metric Spaces
  • Chapter 15. Asymptotics Via Empirical Processes
  • Appendix A. Special Distributions
  • Appendix B. General Topology and Hilbert Space
  • Appendix C. More WLLN and CLT
  • References
  • Index.