All of Statistics pdf epub mobi txt 电子书下载 2025

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出版者:Springer

作者:Larry Wasserman

出品人:

页数:442

译者:

出版时间:2004-10-21

价格:USD 99.00

装帧:Hardcover

isbn号码:9780387402727

丛书系列:Springer Texts in Statistics

图书标签:

统计
数学
机器学习
statistics
统计学
统计学习
概率统计
数据挖掘
概率统计
机器学习
数学
统计学
数据分析
随机过程
数理统计
回归分析
贝叶斯方法
假设检验

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具体描述

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, computer science, data mining and machine learning. This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the advanced undergraduate and graduate level.

作者简介

目录信息

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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读后感

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rt。我们真的在一个世界吗？我觉得应该打五颗黑星。非常怀疑是上课notes拼凑的。 typo满天飞，详简错位，概念模糊，排版丑陋，逻辑混乱。没说让你comprehensive，没说让你严格，没说让你面向统计专业，但concise不严格低门槛不代表乱写一通，统计本来就没多少数学还不好好...

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cmu上面的快进度概率教材。不过个人感觉当手册很好些。特别是用来做review。但不适做初学教材。初学还是degroot那本或是mit 那本概率教材或ross那个

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用户评价

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复习

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学过之后再来看这种简化的教材，反而往往更能醍醐灌顶的启示。虽然有些地方解释得太过于简单，可能看了还是不会解题，但是理解概念是更为重要的事情。而且这本书涉及的内容也太广了，学四年统计有些也没有怎么学过啊。

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I like its conciseness, intuitive comments and graphic illustrations for theorems and a wide coverage. However, too many notations are used, with many overloaded. Some notations are not conventional and confusing.

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浅显的课本，内容丰富，入门级。

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Warning！Warning！入门者慎读，不是给统计学入门的同学准备的，读这本书之前请确定自己有intermediate-advanced的统计学训练+入门级别的机器学习功底。至于内容怎么样呢，这么说吧，这本书就像一把粘合剂，基本把我脑子里八年所学的所有的统计学的破片都整合起来了。