Probability for Statisticians

Probability for Statisticians

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Probability for Statisticians is a modern presentation of the basic probability material needed by statisticians, including measure theoretic concepts. With background material and examples throughout the book, it can easily be used for self-study. Coverage is modern in its approach, including statistical topics such as central limit theorems, the bootstrap and trimming, and martingales and censored data martingales.Springer Texts in Statistics Alfred: Elements of Statistics for the Life and Social Sciences Berger: An Introduction to Probability and ... Chow and T eicher: Probability Theory: Independence, Interchangeability, Martingales, Third Edition Christensen: Plane Answers to ... Mueller: Basic Principles of Structural Equation Modeling: An Introduction to exercise a particular choice, a student can do so individually.

Title:Probability for Statisticians
Author: Galen R. Shorack
Publisher:Springer Science & Business Media - 2000-06-09

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