书籍介绍

The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.

AI导读

核心看点

平衡经典与贝叶斯方法，涵盖模拟技术
哈佛、MIT等名校教材，内容全面经典
大量真实数据案例，习题难度适中具代表性

适合谁读

具备微积分基础，了解向量矩阵的本科生
希望系统学习概率论与数理统计的初学者
需要英文原版教材进行专业深造的学生

读前提醒

前后内容关联紧密，建议多窗口对照查阅
推导详略不一，不必纠结每处细节，重理解
统计推断部分语言较晦涩，需耐心反复阅读

读者共识

编写思路清晰，适合随时翻阅复习知识点
例子极多且反复使用，有助于深入理解概念
部分章节略显啰嗦，中文译本常有删减遗憾

本导读基于书籍简介、目录、原文摘录、短评和书评生成，不等同于全文精读。

精彩摘录

"we will use set theory for the mathematical model of events.outcomes of an experiment are elements of some sample space S,and each event is a subset of S.two events both occur if the outcome is in the intersection of two sets.at least one of a collection of events occurs if the outcome is the union "
"a box contains 100 balls,of which r are red.suppose that the balls are drawn from the box one at a time,at random,without replacement.determine(a) the probability that the first ball drawn will be red;(b)the probability that the 50th ball drawn will be red;(c)the prbability that the last ball drawn "
"9.if n people are seated in a random manner in a row containing 2n seats,what is the probability that no people will occupy adjacent seats?"
"Let Pn be the proportion of patients who don’t relapse out of the first n. It can be shown that the probability is 1 that Pn converges to something as n → ∞. That something can be thought of as P , which we have been calling the proportion of successes in a very large population. In this sense, P is"
"Suppose that the number of potential patients is enough larger than any sam- ple that we will see to make the approximation in Theorem 5.3.4 applicable. Then P is just the proportion of successes among the large population of potential pa- tients. Conditional on P = p, the number of successes in a s"
"The interesting probabilistic properties of δ can be summarized by computing, for each value of θ∈Ω, either the probability π(θ|δ) that the test δ will reject H₀...."