Environmental Data Analysis with MatLab

Author:   William Menke (Professor of Earth and Environmental Sciences ,Columbia University) ,  Joshua Menke
Publisher:   Elsevier Science Publishing Co Inc
Edition:   2nd edition
ISBN:  

9780128044889


Pages:   342
Publication Date:   09 March 2016
Replaced By:   9780323955768
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Environmental Data Analysis with MatLab


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Author:   William Menke (Professor of Earth and Environmental Sciences ,Columbia University) ,  Joshua Menke
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Edition:   2nd edition
Weight:   0.720kg
ISBN:  

9780128044889


ISBN 10:   0128044888
Pages:   342
Publication Date:   09 March 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Replaced By:   9780323955768
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

"1. Data analysis with MatLab 2. A first look at data 3. Probability and what it has to do with data analysiz 4. The power of linear models 5. Quantifying preconceptions 6. Detecting periodicities 7. The past influences the present 8. Patterns suggested by data 9. Detecting correlations among data 10. Filling in missing data 11. ""Approximate"" is not a pejorative word 12. Are my results significant? 13. Notes"

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Author Information

William Menke is a Professor of Earth and Environmental Sciences at Columbia University. His research focuses on the development of data analysis algorithms for time series analysis and imaging in the earth and environmental sciences and the application of these methods to volcanoes, earthquakes, and other natural hazards. He has thirty years of experience teaching data analysis methods to both undergraduates and graduate students. Relevant courses that he has taught include, at the undergraduate level, Environmental Data Analysis and The Earth System, and at the graduate level, Geophysical Inverse Theory, Quantitative Methods of Data Analysis, Geophysical Theory and Practical Seismology. Joshua Menke is a software engineer and principal of JOM Associates. His specialty is in the design and implementation of parallel processing systems for matching and correlation of large volumes of data in order to identify and quantify trends and patterns that can assist manufacturers and retailer better serve their clientele.

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