| 书目名称 | Measurement, Mathematics and New Quantification Theory | | 编辑 | Shizuhiko Nishisato | | 视频video | | | 概述 | Examines thoroughly the most fundamentally important topic of measurement: data for analysis.Discusses the mathematics needed to convert non-quantitative data to quantitative data for non-mathematicia | | 丛书名称 | Behaviormetrics: Quantitative Approaches to Human Behavior | | 图书封面 |  | | 描述 | The purpose of this book is to thoroughly prepare diverse areas of researchers in quantification theory. As is well known, quantification theory has attracted the attention of a countless number of researchers, some mathematically oriented and others not, but all of them are experts in their own disciplines. Quantifying non-quantitative (qualitative) data requires a variety of mathematical and statistical strategies, some of which are quite complicated. Unlike many books on quantification theory, the current book places more emphasis on preliminary requisites of mathematical tools than on details of quantification theory. As such, the book is primarily intended for readers whose specialty is outside mathematical sciences. The book was designed to offer non-mathematicians a variety of mathematical tools used in quantification theory in simple terms. Once all the preliminaries are fully discussed, quantification theory is then introduced in the last section as a simple application of those mathematical procedures fully discussed so far. The book opens up further frontiers of quantification theory as simple applications of basic mathematics.. | | 出版日期 | Book 2023 | | 关键词 | Theory of Measurement; Series and Limit; Matrix Algebra; Maximization of a Function under Constraints; P | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-99-2295-6 | | isbn_softcover | 978-981-99-2297-0 | | isbn_ebook | 978-981-99-2295-6Series ISSN 2524-4027 Series E-ISSN 2524-4035 | | issn_series | 2524-4027 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 16:13:34
