现代数理统计及其应用 英文原版 Modern Mathematical Statistics with Applications Jay L DeVore

基本信息

Format Hardback | 976 pages

Dimensions 178 x 254 x 40.64mm | 2,257g

Publication date 31 May 2021

Publisher Springer Nature Switzerland AG

Language English

ISBN10 3030551555

ISBN13 9783030551551

页面参数仅供参考，具体以实物为准

书籍简介

这本《现代数学统计与应用》第3版试图在数学基础和统计实践之间取得平衡。本书对统计学概念和方法进行了清晰和新的阐述，包括许多基于从公开来源收集的真实数据的例子和练习。

本书的主要重点是介绍和说明从精算学一直到动物学等各种学科的调查人员所使用的推断统计方法。本书以描述性统计一章开始，使读者立即接触到真实数据的分析。接下来的六章发展了概率材料，促进了从简单描述数据到基于推理方法得出正式结论的过渡。点估计、统计区间的使用和假设检验是前三章推论性章节的主题。本书的其余部分探讨了这些方法在各种更复杂环境中的使用。

本版包括许多新的例子和练习，以及对事件和概率分布的模拟的介绍。书中有1300多道练习题，从非常简单的到相当有难度的都有。许多章节被重写，目的是简化和提供一个更容易理解的论述。Z常见的统计软件包的输出在任何适当的地方都包括在内（这几乎是所有其他数学统计学教科书所没有的功能）。作者希望他们对统计学的理论和对现实世界问题的适用性的热情将鼓励学生在该学科中进行更多的培训。

This 3rd edition of Modern Mathematical Statistics with Applications tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear and current exposition of statistical concepts and methodology, including many examples and exercises based on real data gleaned from publicly available sources. Here is a small but representative selection of scenarios for our examples and exercises based on information in recent articles:

Use of the "Big Mac index" by the publication The Economist as a humorous way to compare product costs across nations

Visualizing how the concentration of lead levels in cartridges varies for each of five brands of e-cigarettes

Describing the distribution of grip size among surgeons and how it impacts their ability to use a particular brand of surgical stapler

Estimating the true average odometer reading of used Porsche Boxsters listed for sale on www.cars.com

Comparing head acceleration after impact when wearing a football helmet with acceleration without a helmet

Investigating the relationship between body mass index and foot load while running

The main focus of the book is on presenting and illustrating methods of inferential statistics used by investigators in a wide variety of disciplines, from actuarial science all the way to zoology. It begins with a chapter on descriptive statistics that immediately exposes the reader to the analysis of real data. The next six chapters develop the probability material that facilitates the transition from simply describing data to drawing formal conclusions based on inferential methodology. Point estimation, the use of statistical intervals, and hypothesis testing are the topics of the first three inferential chapters. The remainder of the book explores the use of these methods in a variety of more complex settings.

This edition includes many new examples and exercises as well as an introduction to the simulation of events and probability distributions. There are more than 1300 exercises in the book, ranging from very straightforward to reasonably challenging. Many sections have been rewritten with the goal of streamlining and providing a more accessible exposition. Output from the most common statistical software packages is included wherever appropriate (a feature absent from virtually all other mathematical statistics textbooks). The authors hope that their enthusiasm for the theory and applicability of statistics to real world problems will encourage students to pursue more training in the discipline.

作者简介

Jay L. Devore在加州大学伯克利分校获得工程科学学士学位，并在斯坦福大学获得统计学博士学位。他曾在佛罗里达大学和欧柏林学院任教，并在斯坦福大学、哈佛大学、华盛顿大学、纽约大学和哥伦比亚大学担任访问学者。自1977年以来，他一直在加州州立大学圣路易斯奥比斯波分校工作，担任统计系主任达七年之久，获得了荣誉教授的崇高地位。

杰伊以前还撰写过或与人合著过其他五本书，包括《工程和科学的概率与统计》，该书因长期以来表现出色而获得文本和学术作者协会颁发的麦加菲长寿奖。他是美国统计学会的会员，曾担任《美国统计学会杂志》和《美国统计学家》的副编辑，并于1991年获得加州理工学院的杰出教学奖。他的娱乐兴趣包括阅读、打网球、旅行、烹饪和吃好东西。

Kenneth N. Berk拥有卡内基理工学院（现卡内基梅隆大学）的物理学学士学位和明尼苏达大学的数学博士学位。他是伊利诺伊州立大学数学系的名誉教授，也是美国统计学会的会员。他创立了《美国统计学家》的软件评论部分，并担任了六年的编辑。他曾担任美国统计学会统计计算分会的秘书/财务主管、项目主席和主席，并两次共同主持了统计计算领域的主要年度会议--界面研讨会。他发表的作品包括关于时间序列、统计计算、回归分析和统计图形的论文，以及《Microsoft Excel数据分析》一书（与Patrick Carey合作）。

马修-A-卡尔顿是加州理工大学圣路易斯奥比斯波分校的统计学教授，他于1999年加入该校教师队伍。他在加州大学伯克利分校获得数学学士学位，并在加州大学洛杉矶分校获得数学博士学位，重点研究纯概率和应用概率；他的论文研究涉及泊松-迪里切特随机过程的应用。马特在《应用概率杂志》、《人类生物学》、《统计教育杂志》和《美国统计学家》发表过论文。他也是为社区大学统计课程设计的 "统计学说 "系列视频的主要内容顾问，他还为高中统计学教师出版了各种教育材料。马特负责开发了加州理工学院的应用概率课程和概率与随机过程课程，这反过来又激发了他参与编写这篇课文。他的专业研究重点涉及概率在遗传学和工程学中的应用。个人兴趣包括旅行、好酒和大学体育。

Jay L. Devore received a B.S. in Engineering Science from the University of California, Berkeley, and a Ph.D. in Statistics from Stanford University. He previously taught at the University of Florida and Oberlin College, and has had visiting positions at Stanford, Harvard, the University of Washington, New York University, and Columbia. He has been at California Polytechnic State University, San Luis Obispo, since 1977, where he was chair of the Department of Statistics for seven years and recently achieved the exalted status of Professor Emeritus.

Jay has previously authored or coauthored five other books, including Probability and Statistics for Engineering and the Sciences, which won a McGuffey Longevity Award from the Text and Academic Authors Association for demonstrated excellence over time. He is a Fellow of the American Statistical Association, has been an associate editor for both the Journal of the American Statistical Association and The American Statistician, and received the Distinguished Teaching Award from Cal Poly in 1991. His recreational interests include reading, playing tennis, traveling, and cooking and eating good food.

Kenneth N. Berk has a B.S. in Physics from Carnegie Tech (now Carnegie Mellon) and a Ph.D. in Mathematics from the University of Minnesota. He is Professor Emeritus of Mathematics at Illinois State University and a Fellow of the American Statistical As sociation. He founded the Software Reviews section of The American Statistician and edited it for six years. He served as secretary/treasurer, program chair, and chair of the Statistical Computing Section of the American Statistical Association, and he twice co-chaired the Interface Symposium, the main annual meeting in statistical computing. His published work includes papers on time series, statistical computing, regression analysis, and statistical graphics, as well as the book Data Analysis with Microsoft Excel (with Patrick Carey).

Matthew A. Carlton is Professor of Statistics at California Polytechnic State University, San Luis Obispo, where he joined the faculty in 1999. He received a B.A. in Mathematics from the University of California, Berkeley and a Ph.D. in Mathematics from the University of California, Los Angeles, with an emphasis on pure and applied probability; his thesis research involved applications of the Poisson-Dirichlet random process. Matt has published papers in the Journal of Applied Probability, Human Biology, Journal of Statistics Education, and The American Statistician. He was also the lead content adviser for the "Statistically Speaking" video series, designed for community college statistics courses, and he has published a variety of educational materials for high school statistics teachers. Matt was responsible for developing both the applied probability course and the probability and random processes course at Cal Poly, which in turn inspired him to get involved in writing this text. His professional research focus involves applications of probability to genetics and engineering. Personal interests include travel, good wine, and college sports.