Probability for Statisticians

Probability for Statisticians is intended as a text for a one year graduate course aimed especially at students in statistics. The choice of examples illustrates this intention clearly. The material to be presented in the classroom constitutes a bit more than half the text, and the choices the autho...

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: New York, NY : Springer New York, 2000.
Σειρά:Springer Texts in Statistics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Measures
  • Measurable Functions and Convergence
  • Integration
  • Derivatives via Signed Measures
  • Measures and Processes on Products
  • General Topology and Hilbert Space
  • Distribution and Quantile Functions
  • Independence and Conditional Distributions
  • Special Distributions
  • WLLN, SLLN, LIL, and Series
  • Convergence in Distribution
  • Brownian Motion and Empirical Processes
  • Characteristic Functions
  • CLTs via Characteristic Functions
  • Infinitely Divisible and Stable Distributions
  • Asymptotics via Empirical Proceses
  • Asymptotics via Stein’s Approach
  • Martingales
  • Convergence in Law on Metric Spaces.