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All of Statistics：A Concise Course in Statistical Inference

All of Statistics：A Concise Course in Statistical Inference

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作者: Larry Wasserman

出版社: Springer

出版时间: 2004-10

ISBN: 9780387402727

装帧: 精装

开本: 其他

纸张: 其他

分类: 外文古旧书>英文书>文学

4人买过

WINNER OF THE 2005 DEGROOT PRIZE! 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, Chapter 1 Probability.
Chapter 2 Random Variables.
Chapter 3 Expectation
Chapter 4 Inequalities
Chapter 5 Convergence of Random Variables
Chapter 6 Models, Statistical Inference and Le arning
Chapter 7 Estimating the CDF and Statistical Functionals
Chapter 8 The Bootstrap
Chapter 9 Parametric Inference
Chapter 10 Hypothesis Testing and p-values
Chapter 11 Bayesian Inference
Chapter 12 Statistical Decision Theory
Chapter 13 Linear and Logistic Regression
Chapter 14 Multivariate Models
Chapter 15 Inference about Independence
Chapter 16 Causal Inference
Chapter 17 Directed Graphs and Conditional Independence
Chapter 18 Undirected Graphs
Chapter 19 Loglinear Models
Chapter 20 Nonparametric Curve Estimation
Chapter 21 Smoothing Using Orthogonal Functions
Chapter 22 Classification
Chapter 23 Probability Redux: Stochastic Processes
Chapter 24 Simulation Methods.
内容简介:
WINNER OF THE 2005 DEGROOT PRIZE! 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,
目录:
Chapter 1 Probability.
Chapter 2 Random Variables.
Chapter 3 Expectation
Chapter 4 Inequalities
Chapter 5 Convergence of Random Variables
Chapter 6 Models, Statistical Inference and Le arning
Chapter 7 Estimating the CDF and Statistical Functionals
Chapter 8 The Bootstrap
Chapter 9 Parametric Inference
Chapter 10 Hypothesis Testing and p-values
Chapter 11 Bayesian Inference
Chapter 12 Statistical Decision Theory
Chapter 13 Linear and Logistic Regression
Chapter 14 Multivariate Models
Chapter 15 Inference about Independence
Chapter 16 Causal Inference
Chapter 17 Directed Graphs and Conditional Independence
Chapter 18 Undirected Graphs
Chapter 19 Loglinear Models
Chapter 20 Nonparametric Curve Estimation
Chapter 21 Smoothing Using Orthogonal Functions
Chapter 22 Classification
Chapter 23 Probability Redux: Stochastic Processes
Chapter 24 Simulation Methods.

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其他版本 / 全部 (2)

Springer2010-12
科学出版社2008-06

现货 All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics) [9780387402727]

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