活跃农民
- 积分
- 639
- 大米
- 颗
- 鳄梨
- 个
- 水井
- 尺
- 蓝莓
- 颗
- 萝卜
- 根
- 小米
- 粒
- 学分
- 个
- 注册时间
- 2014-4-6
- 最后登录
- 1970-1-1
|
分享一下statlect.com, 最常用最精华的概率统计相关知识,深入浅出,no BS, 适合我等**自学或者quick reference. 作者还写了本纸质书,也很推荐
不多说了 直接粘贴首页的信息:
Statlect is a free digital textbook on probability theory and mathematical statistics. Explore its main sections.
Fundamentals of probability theory
Read a rigorous yet accessible introduction to the main concepts of probability theory, such as random variables, expected value, variance, correlation, conditional probability.
Probability distributions
Explore this compendium of common probability distributions, including the binomial, Poisson, uniform, exponential and normal distributions.. 1point 3 acres
Asymptotic theory
Learn about stochastic convergence, including convergence in probability, almost surely and in distribution; read about the Central Limit Theorem and the Law of Large Numbers.
Fundamentals of statistics. 1point 3 acres
This is a rigorous introduction to the basics of mathematical statistics; learn about statistical inference, point estimation, interval estimation and hypothesis testing.
Glossary of probability and statistics terms
Use this glossary to review the most important technical terms that are introduced in the digital textbook. Some glossary entries also contain additional explanations and examples.
Mathematical tools
Learn about mathematical concepts that are frequently used in probability theory and statistics.
Matrix algebra
This is a collection of lectures on the most important topics in matrix algebra: matrix addition and multiplication; linear combinations; linear independence, rank and span; linear systems.
Other mathematical tools
Review the basics of calculus, learn about the fundamentals of combinatorial analysis, such as permutations and combinations; discover special functions used in statistics. |
|