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Probably Not: Future Prediction Using Probability and Statistical Inference

2010-03-08 
基本信息·出版社:Wiley-Interscience ·页码:310 页 ·出版日期:2008年04月 ·ISBN:0470184019 ·条形码:9780470184011 ·装帧:平装 ·正文语种: ...
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Probably Not: Future Prediction Using Probability and Statistical Inference 去商家看看

 Probably Not: Future Prediction Using Probability and Statistical Inference


基本信息·出版社:Wiley-Interscience
·页码:310 页
·出版日期:2008年04月
·ISBN:0470184019
·条形码:9780470184011
·装帧:平装
·正文语种:英语
·外文书名:概率: 运用概率和统计推论预测未来

内容简介 在线阅读本书

Probably Not is organized around easy–to–follow examples that address the role of probability and statistics in real–life situations. Fun–to–solve problems including "the shared birthday" and "the prize behind door number one, two, or three" are found throughout the book, which allow readers to test and practice their new probability skills. Requiring little background knowledge of mathematics, readers will gain a greater understanding of the everyday activities that involve random processes and statistics.
作者简介

Lawrence N. Dworsky, PhD, is a former corporate research lab director at Motorola, Inc., where he was also a member of the Science Advisory Board. He has also served as a consultant to the Defense Advanced Research Projects Agency (DARPA), Littelfuse Corp., and HRL Laboratories, LLC. A Fellow of the Institute of Electrical and Electronic Engineers, Dr. Dworsky has held academic positions at Columbia University, Northern Illinois University, and Florida Atlantic University.


编辑推荐 Review
"The book is a very good tool for students and specialists in different areas who do not like advanced statistics, but are obliged to understand, a least partly, the process of decision making." (International Statistical Review, Dec 2008)

"The fact that Dworsky uses examples from many fields, and discusses topics not usually covered in beginning course, may also increase student interest in pursuing statistics at a more advanced level." (MAA Reviews, July 2008)

Review
"The book is a very good tool for students and specialists in different areas who do not like advanced statistics, but are obliged to understand, a least partly, the process of decision making." (International Statistical Review, Dec 2008)

"The fact that Dworsky uses examples from many fields, and discusses topics not usually covered in beginning course, may also increase student interest in pursuing statistics at a more advanced level." (MAA Reviews, July 2008)

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