Practical data analysis in chemistry:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oxford
Elsevier
2007
|
| Schriftenreihe: | Data handling in science and technology
v. 26 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (326 pages) |
| ISBN: | 9780444530547 0444530541 9780080548838 0080548830 |
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| 500 | |a 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 | ||
| 500 | |a Includes bibliographical references and index | ||
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Datensatz im Suchindex
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| author | Maeder, Marcel 1951- |
| author_GND | (DE-588)172719615 |
| author_facet | Maeder, Marcel 1951- |
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| author_sort | Maeder, Marcel 1951- |
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| building | Verbundindex |
| bvnumber | BV042304752 |
| collection | ZDB-33-ESD ZDB-33-EBS |
| ctrlnum | (OCoLC)162131383 (DE-599)BVBBV042304752 |
| dewey-full | 540.15195 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 540 - Chemistry and allied sciences |
| dewey-raw | 540.15195 |
| dewey-search | 540.15195 |
| dewey-sort | 3540.15195 |
| dewey-tens | 540 - Chemistry and allied sciences |
| discipline | Chemie / Pharmazie |
| format | Electronic eBook |
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| id | DE-604.BV042304752 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:17:51Z |
| institution | BVB |
| isbn | 9780444530547 0444530541 9780080548838 0080548830 |
| language | English |
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| physical | 1 Online-Ressource (326 pages) |
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| publisher | Elsevier |
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| series2 | Data handling in science and technology |
| spelling | Maeder, Marcel 1951- Verfasser (DE-588)172719615 aut Practical data analysis in chemistry Marcel Maeder and Yorck-Michael Neuhold Oxford Elsevier 2007 1 Online-Ressource (326 pages) txt rdacontent c rdamedia cr rdacarrier Data handling in science and technology v. 26 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 Includes bibliographical references and index SCIENCE / Chemistry / General bisacsh Chemistry / Statistical methods fast Chemie Chemistry Statistical methods Neuhold, Yorck-Michael Sonstige oth http://www.sciencedirect.com/science/book/9780444530547 Verlag Volltext |
| spellingShingle | Maeder, Marcel 1951- Practical data analysis in chemistry SCIENCE / Chemistry / General bisacsh Chemistry / Statistical methods fast Chemie Chemistry Statistical methods |
| title | Practical data analysis in chemistry |
| title_auth | Practical data analysis in chemistry |
| title_exact_search | Practical data analysis in chemistry |
| title_full | Practical data analysis in chemistry Marcel Maeder and Yorck-Michael Neuhold |
| title_fullStr | Practical data analysis in chemistry Marcel Maeder and Yorck-Michael Neuhold |
| title_full_unstemmed | Practical data analysis in chemistry Marcel Maeder and Yorck-Michael Neuhold |
| title_short | Practical data analysis in chemistry |
| title_sort | practical data analysis in chemistry |
| topic | SCIENCE / Chemistry / General bisacsh Chemistry / Statistical methods fast Chemie Chemistry Statistical methods |
| topic_facet | SCIENCE / Chemistry / General Chemistry / Statistical methods Chemie Chemistry Statistical methods |
| url | http://www.sciencedirect.com/science/book/9780444530547 |
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