概率論與數(shù)理統(tǒng)計(jì)(英文版)/普通高等教育“十三五”規(guī)劃教材
定 價(jià):29 元
叢書名:普通高等教育“十三五”規(guī)劃教材
- 作者:王彩鳳 編
- 出版時(shí)間:2020/4/1
- ISBN:9787502484460
- 出 版 社:冶金工業(yè)出版社
- 中圖法分類:O21
- 頁碼:155
- 紙張:膠版紙
- 版次:1
- 開本:16開
《概率論與數(shù)理統(tǒng)計(jì)(英文版)/普通高等教育“十三五”規(guī)劃教材》采用學(xué)生易于接受的知識(shí)結(jié)構(gòu)方式和英語表述方式,科學(xué)、系統(tǒng)地介紹了概率論與數(shù)理統(tǒng)計(jì)中隨機(jī)事件、概率的三個(gè)定義、古典概率的計(jì)算、條件概率、全概率以及貝葉斯定理、一維隨機(jī)變量及概率分布、二維隨機(jī)變量及其分布、隨機(jī)變量的數(shù)字特征、大數(shù)定律和中心極限定理、樣本及抽樣分布、參數(shù)估計(jì)、假設(shè)檢驗(yàn)、線性回歸、方差分析等知識(shí)。
《概率論與數(shù)理統(tǒng)計(jì)(英文版)/普通高等教育“十三五”規(guī)劃教材》強(qiáng)調(diào)通用性和適用性,兼顧先進(jìn)性,起點(diǎn)低,難度適中,語言簡(jiǎn)潔明了,不僅適用于課堂教學(xué)使用,同時(shí)也適用于自學(xué)自習(xí)。全書每章有習(xí)題配置,題量適中,題型全面,書后附有答案。
《概率論與數(shù)理統(tǒng)計(jì)(英文版)/普通高等教育“十三五”規(guī)劃教材》讀者對(duì)象為高等院校理工、財(cái)經(jīng)、醫(yī)藥、農(nóng)林等專業(yè)大學(xué)生和教師,特別適合作為中外合作辦學(xué)的國(guó)際教育班的學(xué)生以及準(zhǔn)備出國(guó)留學(xué)深造學(xué)生的參考書。
Part A Probability and Random Variables
1 Axioms of Probability
1.i Introduction
1.2 Sample Space and Events
1.3 The Relative Frequency Definition of Probability
1.4 Axioms of Probability
1.5 Sample Spaces Having Equally Likely Outcomes
1.6 Conditional Probability
1.7 The Law of Total Probability ( Partition Theorem)
1.8 Bayes' Theorem
Exercises
2 Random Variables and Their Distributions
2.1 Random Variables
2.2 Discrete Random Variables
2.3 Some Important Discrete Probability Distributions
2.3.1 Uniform Distribution (Discrete Case)
2.3.2 Bernoulli Trial
2.3.3 Binomial Distribution
2.3.4 Poisson Distribution
2.3.5 Geometric Distribution
2.4 Cumulative Distribution Functions
2.5 Continuous Random Variables
2.6 Some Important Continuous Probability Distributions
2.6.1 Uniform Distribution (Continuous Case)
2.6.2 Normal Distribution
2.6.3 Exponential Distribution
2.7 Distributions of Functions of a Random Variable
Exercises
3 Multivariate Random Variables
3.1 Joint Distribution Function
3.1.1 Joint Distribution Function: Discrete Case
3.1.2 Joint Distribution Function: Continuous Case
3.2 Independent Random Variables
3.3 Conditional Distributions
3.3.1 Conditional Distributions: Discrete Case
3.3.2 Conditional Distributions: Continuous Case
3.4 Two Particular Multivariate Distribution
3.4.1 Uniform Distribution
3.4.2 Bivariate Normal Distribution
3.5 Distributions of Special Functions of Two Random Variables
3.5.1 Discrete Multivariate Random Variable
3.5.2 Continuous Multivariate Random Variable
Exercises
4 The Expectation and Variance
4.1 Expectations of Random Variables
4.2 The Variance of Random Variables
4.3 Some Important Expectations and Variance
4.3.1 Uniform Distribution ( Discrete Case)
4.3.2 Binomial Distribution
4.3.3 Poisson Distribution
……