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Mathematical Statistics with Applications

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Dennis Wackerly 作者
Duxbury Press
译者
2007-10-10 出版日期
912 页数
USD 185.95 价格
Hardcover
丛书系列
9780495110811 图书编码

Mathematical Statistics with Applications 在线电子书 图书标签: 统计  数学  Statistics  Textbook  stat  学术  计量/数学/统计  统计学   


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Mathematical Statistics with Applications 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Mathematical Statistics with Applications 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Mathematical Statistics with Applications 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Mathematical Statistics with Applications 在线电子书 用户评价

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Mathematical Statistics with Applications 在线电子书 著者简介

Richard L. Scheaffer, Professor Emeritus of Statistics, University of Florida, received his Ph.D. in statistics from Florida State University. Accompanying a career of teaching, research and administration, Dr. Scheaffer has led efforts on the improvement of statistics education throughout the school and college curriculum. Co-author of five textbooks, he was one of the developers of the Quantitative Literacy Project that formed the basis of the data analysis strand in the curriculum standards of the National Council of Teachers of Mathematics. He also led the task force that developed the AP Statistics Program, for which he served as Chief Faculty Consultant. Dr. Scheaffer is a Fellow and past president of the American Statistical Association, a past chair of the Conference Board of the Mathematical Sciences, and an advisor on numerous statistics education projects. --This text refers to an out of print or unavailable edition of this title.


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Mathematical Statistics with Applications 在线电子书 图书描述

In their bestselling MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps you discover the nature of statistics and understand its essential role in scientific research.

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