书目名称 | Statistics for Chemical and Process Engineers |
副标题 | A Modern Approach |
编辑 | Yuri A.W. Shardt |
视频video | http://file.papertrans.cn/877/876726/876726.mp4 |
概述 | Includes an introduction to subspace methods in the updated second edition.Presents an integrative approach to system identification, linear regression, and statistical theory.Covers all required conc |
图书封面 |  |
描述 | .A coherent, concise, and comprehensive course in the statistics needed for a modern career in chemical engineering covers all of the concepts required for the American Fundamentals of Engineering Examination..Statistics for Chemical and Process Engineers .(second edition) shows the reader how to develop and test models, design experiments and analyze data in ways easily applicable through readily available software tools like MS Excel® and MATLAB® and is updated for the most recent versions of both. Generalized methods that can be applied irrespective of the tool at hand are a key feature of the text, and it now contains an introduction to the use of state-space methods..The reader is given a detailed framework for statistical procedures covering:..data visualization;.probability;.linear and nonlinear regression;..experimental design (including factorialand fractional factorial designs); and.dynamic process identification.. .Main concepts are illustrated with chemical- and process-engineering-relevant examples that can also serve as the bases for checking any subsequent real implementations. Questions are provided (with solutions available for instructors) to confirm the correct u |
出版日期 | Book 2022Latest edition |
关键词 | Chemical Engineering Statistics; Industrial Statistics; System Identification; Data Visualization; Desig |
版次 | 2 |
doi | https://doi.org/10.1007/978-3-030-83190-5 |
isbn_softcover | 978-3-030-83192-9 |
isbn_ebook | 978-3-030-83190-5 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |