000			03447cam a22003858i 4500
001			22715674
005			20260310123350.0
008			220722s2023 flu b 001 0 eng
010			_a 2022034270
020			_a9781032013244 _q(paperback)
020			_a9781032013268 _q(hardback)
020			_z9781003178194 _q(ebook)
035			_a22715674
040			_aDLC _beng _erda _cDLC
042			_apcc
050	0	0	_aTP184 .K75 2023
082	0	0	_a660/.28 _223/eng/20220901
100	1		_aKrijnen, Wim P., _eauthor.
245	1	0	_aComputational and statistical methods for chemical engineering / _cWim P. Krijnen, University of Groningen, The Netherlands, Ernst C. Wit, Universita della Svizzera italiana (USI), Switzerland.
250			_aFirst edition.
263			_a2212
264		1	_aBoca Raton : _bC&H CRC Press, _c2023.
300			_apages cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"In the recent decades, the emerging new molecular measurement techniques and their subsequent availability in chemical database has allowed easier retrieval of the associated data by the chemical analyst. Before the data revolution, most books focused either on mathematical modeling of chemical processes or exploratory chemometrics. Computational and Statistical Methods for Chemical Engineering aims to combine these two approaches and provide aspiring chemical engineers a single, comprehensive account of computational and statistical methods. The book consists of four parts: Part I discusses the necessary calculus, linear algebra, and probability background that the student may or may not have encountered before. Part II provides an overview on standard computational methods and approximation techniques useful for chemical engineering systems. Part III covers the most important statistical models, starting from simple measurement models, via linear models all the way to multivariate, non-linear stochiometric models. Part IV focuses on the importance of designed experiments and robust analyses. Each chapter is accompanied by an extensive selection of theoretical and practical exercises. The book can be used in combination with any modern computational environment, such as R, Python and MATLAB. Given its easy and free availability, the book includes a bonus chapter giving a simple introduction to R programming. This book is particularly suited for undergraduate students in Chemical Engineering who require a semester course in computational and statistical methods. The background chapters on calculus, linear algebra and probability make the book entirely self-contained. The book takes its examples from the field of chemistry and chemical engineering. In this way, it motivates the student to engage actively with the material and to master the techniques that have become crucial for the modern chemical engineer"-- _cProvided by publisher.
650		0	_aChemical engineering _xData processing.
700	1		_aWit, Ernst, _eauthor.
776	0	8	_iOnline version: _aKrijnen, Wim P. _tComputational and statistical methods for chemical engineering _bFirst edition _dBoca Raton : C&H CRC Press, 2023 _z9781003178194 _w(DLC) 2022034271
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBOOK
999			_c12931 _d12931