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概率論與數理統計初步(高等學校十三五規劃教程)(英文版)

  • 作者:鄭靜//童常青//汪騰哲|責編:盧楊//陳婷
  • 出版社:西安電子科大
  • ISBN:9787560654492
  • 出版日期:2019/06/01
  • 裝幀:平裝
  • 頁數:82
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內容大鋼
    本書由一帶一路沿線國家派來的交換學生所開設的概率論與數理統計課程所編寫的講義改編而成,採用全英文,內容分為8章,前四章介紹了概率論的基本原理,第五、六章介紹了描述統計學的基礎知識,第七、八章介紹了在實際生活中相關問題的解決方案。

作者介紹
鄭靜//童常青//汪騰哲|責編:盧楊//陳婷

目錄
Chapter 1  Classical Probability
  1.1  Sample Space
  1.2  Event
  1.3  Counting Sample Points
    1.3.1  Multiplication Rule
    1.3.2  Permutations and Combinations
  1.4  The Concept of Probability
  1.5  The Axioms of Probability
  1.6  Some Element Properties on Probability
  1.7  Assignment of Probabilities
  1.8  Calculating Probabilities for Unions and Complements  ...
  1.9  Conditional Probability
  1.10  Independence
  1.11  The Law of Total Probability
  1.12  Bayes Rule
  Exercises
Chapter 2  Discrete Random Variables
  2.1  Random Variables
  2.2  Discrete Probability Distribution
  2.3  Distribution Functions for Random Variables
  2.4  Expected Values
  2.5  Functions of a Random Variable
  2.6  Variance and Standard Deviation
  Exercises
Chapter 3  Continuous Random Variables
  3.1  Distribution Functions for Continuous Random Variables
  3.2  Expected Values
  3.3  Variance
  3.4  Properties of Expected Values and Variances
  Exercises
Chapter 4  Examples of Random Variables
  4.1  Binomial Distribution
  4.2  Properties of Binomial Distributions
  4.3  Poisson Distributions
  4.4  The Normal Distribution
  4.5  Relationships Between Binomial and Normal Distributions
  Exercises
Chapter 5  Descriptive Statistics
  5.1  Measures of Central Tendency
  5.2  Measures of Dispersion
  5.3  Stem-andLeaf Plot
  Exercises
Chapter 6  Sampling Theory
  6.1  Sampling
  6.2  Random Samples, Random Numbers
  6.3  Population Parameters
  6.4  Sample Statistics
  6.5  Sampling Distributions
  6.6  The Sample Mean
  6.7  Sampling Distribution of Means

  6.8  Sampling Distribution of Proportions
  6.9  Sampling Distribution of Differences and Sums
  6.10  The Sample Variance
  Exercises
Chapter 7  Estimation
  7.1  Unbiased Estimates and Efficient Estimates
  7.2  Point Estimates and Interval Estimates
  7.3  Method of Moments
  7.4  Maximum Likelihood Estimators
  7.5  Confidence Interval Estimates of Population Parameters
  Exercises
Chapter 8  Hypothesis Test
  8.1  Statistical Hypothesis
  8.2  Tests of Hypothesis
  8.3  Type I and Type 1] Errors and Level of Significance
  8.4  Simple and Composite Hypotheses
  8.5  Testing Hypotheses about the Mean of a Normal Distribution with Known Variance
  8.6  P Value
  Exercises
Bibliography

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