| 書目名稱 | Decision Support Using Nonparametric Statistics |
| 編輯 | Warren Beatty |
| 視頻video | http://file.papertrans.cn/265/264296/264296.mp4 |
| 概述 | Shows why analysis using nonparametric statistics is always valid and why using them will lead to better decision-making.Offers brief, practical, and to-the-point guidance on business data analysis an |
| 叢書名稱 | SpringerBriefs in Statistics |
| 圖書封面 |  |
| 描述 | .This concise volume covers nonparametric statistics topics that most are most likely to be seen and used from a practical decision support perspective. While many degree programs require a course in parametric statistics, these methods are often inadequate for real-world decision making in business environments. Much of the data collected today by business executives (for example, customer satisfaction opinions) requires nonparametric statistics for valid analysis, and this book provides the reader with a set of tools that can be used to validly analyze all data, regardless of type. Through numerous examples and exercises, this book explains .why .nonparametric statistics will lead to better decisions and .how .they are used to reach a decision, with a wide array of business applications. Online resources include exercise data, spreadsheets, and solutions.. |
| 出版日期 | Book 2018 |
| 關(guān)鍵詞 | nonparametric statistics; business decision making; hypothesis development and testing; sampling error; |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-68264-8 |
| isbn_softcover | 978-3-319-68263-1 |
| isbn_ebook | 978-3-319-68264-8Series ISSN 2191-544X Series E-ISSN 2191-5458 |
| issn_series | 2191-544X |
| copyright | Springer International Publishing AG 2018 |
|Archiver|手機版|小黑屋|
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