All of Statistics A Concise Course in Statistical Inference

All of Statistics A Concise Course in Statistical Inference / by Larry Wasserman.

This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. This book covers a much wide...

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Bibliographic Details
Main Author: Wasserman, Larry (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2004.
Edition:1st ed. 2004.
Series:Springer Texts in Statistics,
Springer eBook Collection.
Subjects:
Computer mathematics.
Probabilities.
Statistical physics.
Dynamical systems.
Statistics .
Mathematical statistics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Probability
  • Random Variables
  • Expectation
  • Inequalities
  • Convergence of Random Variables
  • Models, Statistical Inference and Learning
  • Estimating the CDF and Statistical Functionals
  • The Bootstrap
  • Parametric Inference
  • Hypothesis Testing and p-values
  • Bayesian Inference
  • Statistical Decision Theory
  • Linear and Logistic Regression
  • Multivariate Models
  • Inference about Independence
  • Causal Inference
  • Directed Graphs and Conditional Independence
  • Undirected Graphs
  • Loglinear Models
  • Nonparametric Curve Estimation
  • Smoothing Using Orthogonal Functions
  • Classification
  • Probability Redux: Stochastic Processes
  • Simulation Methods.

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