English | 2022 | ISBN: 978-1032013244 | 399 pages | True PDF | 50.34 MB
In the recent decades, the emeg new molecular measurement techniques and their subsequent availability in chal database has allowed easier retrieval of the associated data by the chal analyst.
Before the data revolution, most books focused either on mathematical modeling of chal processes or exploratory chemometrics . Computational and Statistical Methods for Chal Eeering aims to combine these two approaches and provide aspiring chal eeers a single, comprehensive account of computational and statistical methods.
The book consists of four parts:
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 Chal Eeering 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 chal eeering. 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 chal eeer.
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