Jay Devore earned his undergraduate degree in Engineering Science from the University of California at Berkeley, spent a year at the University of Sheffield in England, and finished his Ph.D. in statistics at Stanford University. He previously taught at the University of Florida and at Oberlin College and has had visiting appointments at Stanford, Harvard, the University of Washington, New York University, and Columbia University. From 1998 to 2006, Jay served as Chair of the Statistics Department at California Polytechnic State University, San Luis Obispo, which has an international reputation for activities in statistics education. In addition to this book, Jay has written several widely used engineering statistics texts and a book in applied mathematical statistics. He is currently collaborating on a business statistics text, and also serves as an Associate Editor for Reviews for several statistics journals. He is the recipient of a distinguished teaching award from Cal Poly and is a Fellow of the American Statistical Association. In his spare time, he enjoys reading, cooking and eating good food, tennis, and travel to faraway places. He is especially proud of his wife, Carol, a retired elementary school teacher, his daughter Allison, the executive director of a nonprofit organization in New York City, and his daughter Teresa, an ESL teacher in New York City.
发表于2024-12-22
Probability and Statistics for Engineering and the Sciences 2024 pdf epub mobi 电子书
我们在实践中为何总是选择使用正态分布呢,正态分布在自然界中的频繁出现只是原因之一。Jaynes认为还有一个重要的原因是正态分布的最大熵性质。在很多时候我们并不知道数据的真实分布是什么,但是一个分布的均值和方差往往是相对稳定的。因此我们能从数据中获取到的比较好...
评分算是本科读完学校自己老师编的教材外的第一本英文概率论,当时感觉还不错,对很多概念的理解比以前深多了. 但这几天第二次翻的时候就觉得,可能是因为本科教材作了反面映衬.好多重要的概念没有细讲,比如我现在觉得非常重要的矩母函数;而且严谨性有所欠缺,比如介绍一个分布,在给出...
评分我们在实践中为何总是选择使用正态分布呢,正态分布在自然界中的频繁出现只是原因之一。Jaynes认为还有一个重要的原因是正态分布的最大熵性质。在很多时候我们并不知道数据的真实分布是什么,但是一个分布的均值和方差往往是相对稳定的。因此我们能从数据中获取到的比较好...
评分我们在实践中为何总是选择使用正态分布呢,正态分布在自然界中的频繁出现只是原因之一。Jaynes认为还有一个重要的原因是正态分布的最大熵性质。在很多时候我们并不知道数据的真实分布是什么,但是一个分布的均值和方差往往是相对稳定的。因此我们能从数据中获取到的比较好...
评分算是本科读完学校自己老师编的教材外的第一本英文概率论,当时感觉还不错,对很多概念的理解比以前深多了. 但这几天第二次翻的时候就觉得,可能是因为本科教材作了反面映衬.好多重要的概念没有细讲,比如我现在觉得非常重要的矩母函数;而且严谨性有所欠缺,比如介绍一个分布,在给出...
图书标签: 数学 Textbook 统计学 教材 统计 概率
This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics--you'll also learn how to put the statistical methods to use. In addition, rather than focusing on rigorous mathematical development and potentially overwhelming derivations, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES emphasizes concepts, models, methodology, and applications that facilitate your understanding.
还不错 蛮清楚的
评分还不错 蛮清楚的
评分TA的本科课的教材,写的还挺好的,给了挺多以前没见过的拇指法则。
评分TA的本科课的教材,写的还挺好的,给了挺多以前没见过的拇指法则。
评分还不错 蛮清楚的
Probability and Statistics for Engineering and the Sciences 2024 pdf epub mobi 电子书