Buch, Englisch, 342 Seiten, Format (B × H): 159 mm x 237 mm, Gewicht: 720 g
Buch, Englisch, 342 Seiten, Format (B × H): 159 mm x 237 mm, Gewicht: 720 g
ISBN: 978-0-12-804488-9
Verlag: Elsevier Health Sciences
MATLAB®, a commercial data processing environment, is used in these scenarios. Significant content is devoted to teaching how it can be effectively used in an environmental data analysis setting. This new edition, though written in a self-contained way, is supplemented with data and MATLAB® scripts that can be used as a data analysis tutorial.
New features include boxed crib sheets to help identify major results and important formulas and give brief advice on how and when they should be used. Numerical derivatives and integrals are derived and illustrated. Includes log-log plots with further examples of their use. Discusses new datasets on precipitation and stream flow. Topical enhancement applies the chi-squared test to the results of the generalized least squares method. New coverage of cluster analysis and approximation techniques that are widely applied in data analysis, including Taylor Series and low-order polynomial approximations; non-linear least-squares with Newton's method; and pre-calculation and updating techniques applicable to real time data acquisition.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Data analysis with MatLab2. A first look at data3. Probability and what it has to do with data analysiz4. The power of linear models5. Quantifying preconceptions6. Detecting periodicities7. The past influences the present8. Patterns suggested by data9. Detecting correlations among data10. Filling in missing data11. "Approximate" is not a pejorative word12. Are my results significant?13. Notes