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Titlebook: Statistics for Chemical and Process Engineers; A Modern Approach Yuri A.W. Shardt Book 2022Latest edition The Editor(s) (if applicable) and

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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
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Titlebook: Statistics for Chemical and Process Engineers; A Modern Approach Yuri A.W. Shardt Book 2022Latest edition The Editor(s) (if applicable) and
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
doihttps://doi.org/10.1007/978-3-030-83190-5
isbn_softcover978-3-030-83192-9
isbn_ebook978-3-030-83190-5
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Theoretical Foundation for Statistical Analysis,o probability and statistical theory. The foundation is laid with consideration of the key statistical axioms and definitions, which formalise many of the concepts introduced in Chap. .. Probability density functions, sample space, moments, the expectation operator, and various marginal functions ar
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Design of Experiments,-to-noise ratio, randomization, and blocking are considered. Next, the commonly encountered factorial and fractional factorial designs are analysed in detail. Both analysis and design of such experiments, including the topics of model determination, replicates, confounding patterns, and resolution,
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Modelling Stochastic Processes with Time-Series Analysis,me-series analysis is used to develop stochastic, or probabilistic, models. First, the theoretical properties of different model types, including standard autoregressive moving-average models, integrating models, and seasonal models, are examined and compared in both the time and frequency domains.
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,Using Excel® to Do Statistical Analysis, are described, including array functions that allow for the manipulation of matrices in Excel.. Writing your own Excel. code to extend its functionality and the resulting issues from Excel. security are also considered. Finally, the Data Analysis and Solver Add-ins are described in detail. Ready-to
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regression, and statistical theory.Covers all required conc.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 Pr
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