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工程師與科學家統計學:英文 版權信息
- ISBN：9787560380872
- 條形碼：9787560380872 ; 978-7-5603-8087-2
- 裝幀：平裝-膠訂
- 冊數：暫無
- 重量：暫無
- 所屬分類：>>
工程師與科學家統計學:英文 本書特色
William Navidi is Professor of Applied Mathematics and Statistics at the Colorado School of Mines.He received his B.A. degree in mathematics from New College， his M.A. in mathematics from Michigan State University，and his Ph.D. in statistics from the University of California at Berkeley. Professor Navidi has authored more than 70 research papers both in statistical theory and in a wide variety of applications includ-ing computer networks， epidemiology， molecular biology， chemical engineering， and geophysics.
工程師與科學家統計學:英文 內容簡介
本書的主要你內容是概率論與數理統計。本書作者的觀點是,工程和科學專業的入門統計學教材應該在一定程度上提供所有與這些主題相關的內容,此外,該教材應該足夠靈活,允許對覆蓋范圍做出各種選擇,也正是因為這個原因使得設計一門成功的入門統計學課程的方法有很多種,*后,該教材應該提供在現實環境中呈現重要思想的例子,由此,本書具有以下特點 1.在概率的表達上是靈活的,使教師在選擇話題的深度和廣度上有很大的自由。 2.包含了許多以真實的、當代的數據集為特色的例子,既能激勵學生,又能展示它們與工業和科學研究的聯系。 3.包含了許多計算機輸出的例子和適合用計算機軟件解決的練習題。 4.對誤差傳播作了廣泛的論述。 5.對模擬方法和引導程序進行了深入介紹,包括驗證正態性假設、計算概率、估計偏差、計算置信區間和測試假設的應用程序。 6.與大多數介紹性文章相比,本書提供了更廣泛的線性模型診斷程序,這包括檢查殘差圖變量變換和多變量模型中變量選擇的原則。 7.涵蓋了標準的介紹性主題,包括描述性統計、概率、置信區間、假設檢驗、線性回歸、階乘驗和統計質量控制。
工程師與科學家統計學:英文 目錄
Preface
Acknowledgments of Reviewers and Contributors
Key Features
Supplements for Students and Instructors
Chapter 1 Sampling and Descriptive Statistics Introduction
1．1 Sampling
1．2 Summary Statistics
1．3 Graphical Summaries
Chapter 2 Probability
Introduction
2．1 Basicldeas
2．2 Counting Methods
2．3 Conditional Probability and Independence
2．4 Random Variables
2．5 Linear Functions of Random Variables
2．6 Jointly Distributed Random Variables
Chapter 3 Propagation of Error Introduction
3．1 Measurement Error
3．2 Linear Combinations of Measurements
3．3 Uncertainties for Functions of One Measurement
3．4 Uncertainties for Functions of Several Measurements
Chapter 4 Commonly Used Distributions
Introduction
4．1 The Bernoulli Distribution
4，2 The Binomial Distribution
4，3 The Poisson Distribution
4．4 Some Other Discrete Distributions
4．5 The Normal Distribution
4．6 The Lognormal Distribution
4．7 The Exponential Distribution
4．8 Some Other Continuous Distributions
4．9 Some Principles of Point Estimation
4．10 Probability Plots
4．11 The Central Limit Theorem
4．12 Simulation
Chapter 5 Confidencelntervals Introduction
5．1 Large-Sample Confidence Intervals
for a Population Mean
5．2 Confidence Intervals for Proportions
5．3 Small-Sample Confidence Intervals for a Population Mean
……
Chapter 6 Hypothesis Testing
Chapter 7 Correlation and Simple Linear Regression
Chapter 8 Multiple Regression
Chapter 9 Factorial Experiments
Chapter 10 Statistical Quality Control
Appendix A：Tables 804．
Appendix B： PartiaI Derivatives
Appendix C： Bibliography
Answers to Odd-Numbered Exercises
Index
編輯手記
Acknowledgments of Reviewers and Contributors
Key Features
Supplements for Students and Instructors
Chapter 1 Sampling and Descriptive Statistics Introduction
1．1 Sampling
1．2 Summary Statistics
1．3 Graphical Summaries
Chapter 2 Probability
Introduction
2．1 Basicldeas
2．2 Counting Methods
2．3 Conditional Probability and Independence
2．4 Random Variables
2．5 Linear Functions of Random Variables
2．6 Jointly Distributed Random Variables
Chapter 3 Propagation of Error Introduction
3．1 Measurement Error
3．2 Linear Combinations of Measurements
3．3 Uncertainties for Functions of One Measurement
3．4 Uncertainties for Functions of Several Measurements
Chapter 4 Commonly Used Distributions
Introduction
4．1 The Bernoulli Distribution
4，2 The Binomial Distribution
4，3 The Poisson Distribution
4．4 Some Other Discrete Distributions
4．5 The Normal Distribution
4．6 The Lognormal Distribution
4．7 The Exponential Distribution
4．8 Some Other Continuous Distributions
4．9 Some Principles of Point Estimation
4．10 Probability Plots
4．11 The Central Limit Theorem
4．12 Simulation
Chapter 5 Confidencelntervals Introduction
5．1 Large-Sample Confidence Intervals
for a Population Mean
5．2 Confidence Intervals for Proportions
5．3 Small-Sample Confidence Intervals for a Population Mean
……
Chapter 6 Hypothesis Testing
Chapter 7 Correlation and Simple Linear Regression
Chapter 8 Multiple Regression
Chapter 9 Factorial Experiments
Chapter 10 Statistical Quality Control
Appendix A：Tables 804．
Appendix B： PartiaI Derivatives
Appendix C： Bibliography
Answers to Odd-Numbered Exercises
Index
編輯手記
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