Oceanography calls for a wide variety of mathematical andstatistical techniques, and this accessible treatment provides thebasics every oceanographer needs to know, including
The main body of the text covers the actual methods of dealing withdata--including least squares and linear regression, correlationfunctions and analysis of variance, means and error bounds,nonlinear techniques and weighted least squares, numericalintegration, and other modeling techniques. Unlike mostintroductory texts, Mathematical Methods for Oceanographersdiscusses regression methods in great detail, and includes ananalysis of why certain methods produce unbiased parameterestimates. Finally, the chapter on time series analysis covers anarea of particular interest to physical oceanographers.
The numerous problems and solutions included in the book enablereaders to check their understanding of concepts and techniques aswell as their ability to apply what they have learned.
A must-read for students of oceanography, this text/reference isalso useful for professionals in the field, as well as forfisheries scientists, biologists, and those in the environmentalsciences.
A systematic introduction to the mathematics oceanographersneed
Topics covered in Mathematical Methods for Oceanographers include:
- Practical ways to deal with chemical, geological, and biologicaloceanographic data
- Instructions on detecting the existence of patterns in whatappears to be noise
- Numerous examples from the field that highlight the applicationof the methods presented
The main body of the text covers the actual methods of dealing withdata--including least squares and linear regression, correlationfunctions and analysis of variance, means and error bounds,nonlinear techniques and weighted least squares, numericalintegration, and other modeling techniques. Unlike mostintroductory texts, Mathematical Methods for Oceanographersdiscusses regression methods in great detail, and includes ananalysis of why certain methods produce unbiased parameterestimates. Finally, the chapter on time series analysis covers anarea of particular interest to physical oceanographers.
The numerous problems and solutions included in the book enablereaders to check their understanding of concepts and techniques aswell as their ability to apply what they have learned.
A must-read for students of oceanography, this text/reference isalso useful for professionals in the field, as well as forfisheries scientists, biologists, and those in the environmentalsciences.
A systematic introduction to the mathematics oceanographersneed
Topics covered in Mathematical Methods for Oceanographers include:
- A review of the necessary calculus
- Model I linear regression
- Correlation analysis
- Model II linear regression
- Polynomial curve fitting, linear multiple regression analysis,and nonlinear least squares
- Numerical integration
- Box models
- Time series analysisDieses Buch erleichtert dem biologisch, chemisch oder geologisch interessierten Ozeanographen den Zugang zu den mathematischen Techniken, die er für seine tägliche Arbeit benötigt. Von den Grundlagen ausgehend, werden Methoden der Datenauswertung behandelt - lineare Regression, Korrelationsmethoden, Varianzanalyse, nichtlineare Techniken, numerische Integrationsverfahren und vieles andere mehr.
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