Introduction to Probability pdf epub mobi txt 电子书 下载 2025
出版者:AMS
作者:Charles Grinstead
出品人:
页数:510
译者:
出版时间:1997-7-1
价格:USD 60.00
装帧:Hardcover
isbn号码:9780821807491
丛书系列:
图书标签:
- 统计
- 数学
- statistics
- 概率论
- 概率
- 數學
- 教材
- Textbooks
- 概率论
- 入门
- 统计学
- 数学基础
- 随机变量
- 概率分布
- 期望方差
- 大数定律
- 中心极限定理
- 应用数学
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具体描述
作者简介
目录信息
1 Discrete Probability Distributions
1.1 Simulation of Discrete Probabilities
1.2 Discrete Probability Distributions
2 Continuous Probability Densities
2.1 Simulation of Continuous Probabilities
2.2 Continuous Density Functions
3 Combinatorics
3.1 Permutations
3.2 Combinations
3.3 Card Shuffling
4 Conditional Probability
4.1 Discrete Conditional Probability
4.2 Continuous Conditional Probability
4.3 Paradoxes
5 Distributions and Densities
5.1 Important Distributions
5.2 Important Densities
6 Expected Value and Variance
6.1 Expected Value
6.2 Variance of Discrete Random Variables
6.3 Continuous Random Variables
7 Sums of Random Variables
7.1 Sums of Discrete Random Variables
7.2 Sums of Continuous Random Variables
8 Law of Large Numbers
8.1 Discrete Random Variables
8.2 Continuous Random Variables
9 Central Limit Theorem
9.1 Bernoulli Trials
9.2 Discrete Independent Trials
9.3 Continuous Independent Trials
10 Generating Functions
10.1 Discrete Distributions
10.2 Branching Processes
10.3 Continuous Densities
11 Markov Chains
11.1 Introduction
11.2 Absorbing Markov Chains
11.3 Ergodic Markov Chains
11.4 Fundamental Limit Theorem
11.5 Mean First Passage Time
12 Random Walks
12.1 Random Walks in Euclidean Space
12.2 Gambler's Ruin
12.3 Arc Sine Laws
· · · · · · (收起)
1.1 Simulation of Discrete Probabilities
1.2 Discrete Probability Distributions
2 Continuous Probability Densities
2.1 Simulation of Continuous Probabilities
2.2 Continuous Density Functions
3 Combinatorics
3.1 Permutations
3.2 Combinations
3.3 Card Shuffling
4 Conditional Probability
4.1 Discrete Conditional Probability
4.2 Continuous Conditional Probability
4.3 Paradoxes
5 Distributions and Densities
5.1 Important Distributions
5.2 Important Densities
6 Expected Value and Variance
6.1 Expected Value
6.2 Variance of Discrete Random Variables
6.3 Continuous Random Variables
7 Sums of Random Variables
7.1 Sums of Discrete Random Variables
7.2 Sums of Continuous Random Variables
8 Law of Large Numbers
8.1 Discrete Random Variables
8.2 Continuous Random Variables
9 Central Limit Theorem
9.1 Bernoulli Trials
9.2 Discrete Independent Trials
9.3 Continuous Independent Trials
10 Generating Functions
10.1 Discrete Distributions
10.2 Branching Processes
10.3 Continuous Densities
11 Markov Chains
11.1 Introduction
11.2 Absorbing Markov Chains
11.3 Ergodic Markov Chains
11.4 Fundamental Limit Theorem
11.5 Mean First Passage Time
12 Random Walks
12.1 Random Walks in Euclidean Space
12.2 Gambler's Ruin
12.3 Arc Sine Laws
· · · · · · (收起)
读后感
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Probability Theory 入门宝典。大量有趣的例子，几乎可以当休闲读物来看了
评分Probability Theory 入门宝典。大量有趣的例子，几乎可以当休闲读物来看了
评分10S，还算可以的书，比较侧重computer simulation。
评分艾玛等明天考完就总算结束了！！
评分10S，还算可以的书，比较侧重computer simulation。
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