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Titlebook: Introduction to Statistics for Biomedical Engineers; Kristina M Ropella Book 2007 Springer Nature Switzerland AG 2007

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發(fā)表于 2025-3-21 18:44:32 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Introduction to Statistics for Biomedical Engineers
編輯Kristina M Ropella
視頻videohttp://file.papertrans.cn/475/474217/474217.mp4
叢書名稱Synthesis Lectures on Biomedical Engineering
圖書封面Titlebook: Introduction to Statistics for Biomedical Engineers;  Kristina M Ropella Book 2007 Springer Nature Switzerland AG 2007
描述There are many books written about statistics, some brief, some detailed, some humorous, some colorful, and some quite dry. Each of these texts is designed for a specific audience. Too often, texts about statistics have been rather theoretical and intimidating for those not practicing statistical analysis on a routine basis. Thus, many engineers and scientists, who need to use statistics much more frequently than calculus or differential equations, lack sufficient knowledge of the use of statistics. The audience that is addressed in this text is the university-level biomedical engineering student who needs a bare-bones coverage of the most basic statistical analysis frequently used in biomedical engineering practice. The text introduces students to the essential vocabulary and basic concepts of probability and statistics that are required to perform the numerical summary and statistical analysis used in the biomedical field. This text is considered a starting point for important issuesto consider when designing experiments, summarizing data, assuming a probability model for the data, testing hypotheses, and drawing conclusions from sampled data. A student who has completed this tex
出版日期Book 2007
版次1
doihttps://doi.org/10.1007/978-3-031-01620-2
isbn_softcover978-3-031-00492-6
isbn_ebook978-3-031-01620-2Series ISSN 1930-0328 Series E-ISSN 1930-0336
issn_series 1930-0328
copyrightSpringer Nature Switzerland AG 2007
The information of publication is updating

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Book 2007igned for a specific audience. Too often, texts about statistics have been rather theoretical and intimidating for those not practicing statistical analysis on a routine basis. Thus, many engineers and scientists, who need to use statistics much more frequently than calculus or differential equation
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