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The majority of modern instruments are computerised and provide incredible amounts of data. Methods that take advantage of the flood of data are now available; importantly they do not emulate 'graph paper analyses' on the computer. Modern computational methods are able to give us insights into data, but analysis or data fitting in chemistry requires the quantitative understanding of chemical processes. The results of this analysis allows the modelling and prediction of processes under new conditions, therefore saving on extensive experimentation. Practical Data Analysis in Chemistry exemplifies every aspect of theory applicable to data analysis using a short program in a Matlab or Excel spreadsheet, enabling the reader to study the programs, play with them and observe what happens. Suitable data are generated for each example in short routines, this ensuring a clear understanding of the data structure. Chapter 2 includes a brief introduction to matrix algebra and its implementation in Matlab and Excel while Chapter 3 covers the theory required for the modelling of chemical processes. This is followed by an introduction to linear and non-linear least-squares fitting, each demonstrated with typical applications. Finally Chapter 5 comprises a collection of several methods for model-free data analyses.
* Includes a solid introduction to the simulation of equilibrium processes and the simulation of complex kinetic processes.
* Provides examples of routines that are easily adapted to the processes investigated by the reader
* 'Model-based' analysis (linear and non-linear regression) and 'model-free' analysis are covered
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Book Description Elsevier Science, 2007. Condition: Very Good. Har/Cdr. Former Library book. Great condition for a used book! Minimal wear. Seller Inventory # GRP96382940
Book Description Elsevier Science. Hardcover. Condition: Very Good. 0444530541 ** CD is included **; Very Good; Hardcover; Light wear to the covers; Unblemished textblock edges; Pages are clean & unmarked; The binding is excellent with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 2007, Elsevier Science Publishing; 340 pages; "Practical Data Analysis in Chemistry, Volume 26 (Data Handling in Science and Technology)," by Marcel Maeder & Yorck-Michael Neuhold. Seller Inventory # SKU-U09RF14706306
Book Description Elsevier Science, 2007. Hardcover. Condition: Good. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!. Seller Inventory # 0444530541