Probability & Statistics(概率論與數(shù)理統(tǒng)計)
定 價:25 元
叢書名:21世紀高等學校數(shù)學系列教材
- 作者:干曉蓉 著
- 出版時間:2009/1/1
- ISBN:9787307066922
- 出 版 社:武漢大學出版社
- 中圖法分類:O21
- 頁碼:224
- 紙張:膠版紙
- 版次:1
- 開本:16K
《Probability&Statistics(理工類本科生)》是作者在英國留學期間完成的自編教材基礎上,結合國內雙語課教學的實際而編寫成的,是一本概率統(tǒng)計的入門教材。全書共分八章,內容包括概率公理、隨機變量及其分布、多元隨機變量、期望與方差、大數(shù)定律與中心極限定理、隨機抽樣、估計問題和假設檢驗。各章取材注重實際,力求敘述清晰易懂,書中配有適量的例題和習題,書末附有習題答案,便于教學和學生自學。
《Probability & Statistics(理工類本科生)》可以作為高等院校工科各專業(yè)、理科非數(shù)學專業(yè)以及管理與經濟類等專業(yè)本科生的概率統(tǒng)計雙語課程教材,也可以供相關科技人員參考。
數(shù)學是研究現(xiàn)實世界中數(shù)量關系和空間形式的科學,長期以來,人們在認識世界和改造世界的過程中,數(shù)學作為一種精確的語言和一個有力的工具,在人類文明的進步和發(fā)展中,甚至在文化的層面上,一直發(fā)揮著重要的作用,作為各門科學的重要基礎,作為人類文明的重要支柱,數(shù)學科學在很多重要的領域中已起到關鍵性、甚至決定性的作用,數(shù)學在當代科技、文化、社會、經濟和國防等諸多領域中的特殊地位是不可忽視的,發(fā)展數(shù)學科學,是推進我國科學研究和技術發(fā)展,保障我國在各個重要領域中可持續(xù)發(fā)展的戰(zhàn)略需要.高等學校作為人才培養(yǎng)的搖籃和基地,對大學生的數(shù)學教育,是所有的專業(yè)教育和文化教育中非;A、非常重要的一個方面,而教材建設是課程建設的重要內容,是教學思想與教學內容的重要載體,因此顯得尤為重要。
為了提高高等學校數(shù)學課程教材建設水平,由武漢大學數(shù)學與統(tǒng)計學院與武漢大學出版社聯(lián)合倡議,策劃,組建21世紀高等學校數(shù)學課程系列教材編委會,在一定范圍內,聯(lián)合多所高校合作編寫數(shù)學課程系列教材,為高等學校從事數(shù)學教學和科研的教師,特別是長期從事教學且具有豐富教學經驗的廣大教師搭建一個交流和編寫數(shù)學教材的平臺,通過該平臺,聯(lián)合編寫教材,交流教學經驗,確保教材的編寫質量,同時提高教材的編寫與出版速度,有利于教材的不斷更新,極力打造精品教材。
本著上述指導思想,我們組織編撰出版了這套21世紀高等學校數(shù)學課程系列教材,旨在提高高等學校數(shù)學課程的教育質量和教材建設水平。
參加21世紀高等學校數(shù)學課程系列教材編委會的高校有:武漢大學、華中科技大學、云南大學、云南民族大學、云南師范大學、昆明理工大學、武漢理工大學、湖南師范大學、重慶三峽學院、襄樊學院、華中農業(yè)大學、福州大學、長江大學、咸寧學院、中國地質大學、孝感學院、湖北第二師范學院、武漢工業(yè)學院、武漢科技學院,武漢科技大學、仰恩大學(福建泉州)、華中師范大學、湖北工業(yè)大學等20余所院校。
高等學校數(shù)學課程系列教材涵蓋面很廣,為了便于區(qū)分,我們約定在封首上以漢語拼音首寫字母縮寫注明教材類別,如:數(shù)學類本科生教材,注明:SB;理工類本科生教材,注明:LGB;文科與經濟類教材,注明:WJ;理工類碩士生教材,注明:LGs,如此等等,以便于讀者區(qū)分。
1 The Axioms of Probability
1.1 Experiments
1.2 Sample Spaces and Events
1.3 Frequency and Probability
1.4 Equally Likely Outcomes
1.5 Conditional Probability
1.6 Independence
Exercise 1
2 Random Variables and Their Distributions
2.1 Random Variables
2.2 Discrete Random Variables
2.3 Cumulative Distribution Functions
2.4 Continuous Random Variables
2.5 Functions of Random Variables
Exercise 2
3 Multivariate Random Variables
3.1 Two——Dimensional Random Variables
3.2 Marginal Distributions
3.3 Conditional Distributions
3.4 Independence
3.5 Distribution of Special Functions
Exercise 3
4 The Mean and Variance
4.1 Expectations of random variables
4.2 Variances of random variables
4.3 Covariance & Correlation
4.4 Miment and Covariance Matrix
Exercise
5 The Law of Large Numbers and the Central Limit Theorem
5.1 Chebyshevs Inequality
5.2 Law of Large numbers
5.3 The Central Limit Theorem
Exercise 5
6 Random Sampling
6.1 Random Sampling
6.1.1 Populations and Samples
6.1.2 Random Sample
6.2 Some Important Statistics
6.2.1 The Sample Mean and the Sample Variance
6.2.2 The Sample Moments
6.3 Sampling Distributions
6.3.1 The Chi-Square distribution
6.3.2 t-Distribution
6.3.3 F-Distribution
6.3.4 Quantile of Order tt
6.3.5 Sampling Distributions of the Sample Mean and the Sample Variance
Exercise 6
7 Estimation Problems
7.1 Introduction
7.2 Point Estimation
7.2.1 The Method of Moments
7.2.2 The Method of Maximum Likelihood
7.3 The Particular Properties of Estimators
7.3.1 Unbiased Estimators
7.3.2 Efficiency
7.3.3 Consistency
7.4 Interval Estimation
7.4.1 The Estimation of Mean
7.4.2 The Estimation of Variance
Exercise 7
8 Hypothesis Testing
8.1 Introduction
8.2 Tests Concerning Means
8.2.1 One Normal Population
8.2.2 To Normal Populations
8.3 Tests Concerning Variances
8.3.1 One Normal Population
8.3.2 Two Normal Populations
8.4 The Relationship Between Hypothesis Testing and Confidence Intervals
8.5 One Sample: Thex2 Goodness of Fit Test
Exercise 8
Appendix A Some Important Distributions
Appendix B Statistical Tables
Appendix C Answer To Exercise
Appendix D 中英文對照表
Bibliography
1 The Axioms of Probability
1.1 Experiments
An experiment is any action or process that generates observations. Although the word experiment generally suggests a planned or carefully controlled laboratory testing situation, we use it here in a much wider sense. Thus, experiments that may be of interest include tossing a coin once or several times, selecting a card or cards from a deck, weighing a loaf of bread, or measuring the compressive strengths of different steel beam, etc. The experiments may be quite simple or they may be composite. In any case, the result of an experiment is a single outcome from a basic set of such potential outcomes.
Probability theory deals with situations in which there is a degree of randomness or chance in the outcome of some experiment. We are specifically concerned with experiments that can be repeated under identical circumstances. In such a situation it is desirable to know the chance of such an outcome of occurring.Here are a few illustrative examples:(El) Choose two people at random from a group of five people.
What is the probability that a particular person is in the selected pair?
。‥2) A coin is tossed three times. What is the probability that exactly two heads are obtained?
。‥3) Choose a positive integer n = ( 1, 2, 3," ) by means of the following experiment. Toss a fair coin repeatedly until you get head and let n be the number of tosses up to and include the first toss resulting in head.What is the probability that n is an odd number?