| 书目名称 | Statistical Analysis of Empirical Data | | 副标题 | Methods for Applied | | 编辑 | Scott Pardo | | 视频video | | | 概述 | Guides researchers in physical, biological, and social sciences who are not statistical specialists, but who require the use of statistical methods.Covers methods and concepts used/applied in a wide r | | 图书封面 |  | | 描述 | .Researchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for analyses, and they are often challenged to justify these selections. This book is designed for readers with limited background in statistical methodology who seek guidance in defending their statistical decision-making in the worlds of research and practice. It is devoted to helping students and scholars find the information they need to select data analytic methods, and to speak knowledgeably about their statistical research processes. Each chapter opens with a conundrum relating to the selection of an analysis, or to explaining the nature of an analysis. Throughout the chapter, the analysis is described, along with some guidance in justifying the choices of that particular method..Designed to offer statistical knowledge to the non-specialist, this volume can be used in courses on research methods, or for courses on statistical applications to biological, medical, life, social, or physical sciences. It will also be useful to academic and industrial researchers in engineering and in the physical sciences who will benefit from a stronger understand | | 出版日期 | Book 2020 | | 关键词 | statistical methods; inference; confidence; assumptions; misconceptions; modeling; predictive analysis; ANO | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-43328-4 | | isbn_softcover | 978-3-030-43330-7 | | isbn_ebook | 978-3-030-43328-4 | | copyright | Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 18:30:00
