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 pr...
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.
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 of the sets.two events can not both occur if the sets are disjoint.an event fails to occur if the outcome is the complement of the set.the empty set stands for every event that cannot possibly occur.the collection of events is assumed to contain the sample space,the complement of each event,and the union of each countable collection of events. (查看原文)
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 will be red. (查看原文)
Too many examples, don't need to see word by word. The good thing is it's clear and easy to understand, the exercises are suitable to master the knowledge.
0 有用 Zn 2020-06-13 16:52:32
满篇只写了三个大字:我不配
4 有用 cosy 2016-04-14 19:35:52
因为文中反复引用之前讲过的例子,所以需要打开多个窗口返回查找,勤动手就行了。全书的难易程度并不均一,有时给出严格详细的推导过程,有时省略很多推理步骤,所以没必要每个知识点都抓住不放过。配合答案的话,算是比较适合自学的一本书。
2 有用 林林林 2018-05-22 21:53:18
啰里啰嗦急死人
1 有用 被生活爆锤的鹅 2021-11-07 15:26:16
Too many examples, don't need to see word by word. The good thing is it's clear and easy to understand, the exercises are suitable to master the knowledge.
0 有用 Borgmann 2022-04-28 08:09:20
看得有点恶心。。