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...
Κύριος συγγραφέας: | |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
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.