Oceanography calls for a wide variety of mathematical andstatistical techniques, and this accessible treatment provides thebasics every oceanographer needs to know, including
* 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
Written by an oceanographer and based on his successful course atthe University of Hawaii, the volume is well suited to atwo-semester course at the graduate level. The book reviews thenecessary calculus, clarifies statistical concepts, and includesend-of-chapter problems that illustrate and expand the varioustopics. Tips on using MATLAB(r) software in matrix operationscomplement chapters that deal with the formulation of relationshipsin terms of matrices.
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 analysis
"Sinopsis" puede pertenecer a otra edición de este libro.
EDWARD LAWS is Professor of Oceanography and Assistant Vice President for Research and Graduate Education at the University of Hawaii at Manoa. He holds a PhD from Harvard University in chemical physics and is the author of Aquatic Pollution, Second Edition, also published by Wiley. In 1994 he was the William McCurdy Fellow at the Duke University Marine Laboratory, and it was during that time that he wrote most of this book.
Oceanography calls for a wide variety of mathematical and statistical techniques, and this accessible treatment provides the basics every oceanographer needs to know, including
Oceanography calls for a wide variety of mathematical and statistical techniques, and this accessible treatment provides the basics every oceanographer needs to know, including
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Condición: New. Oceanography calls for a wide variety of mathematical and statistical techniques. This title provides the basics oceanographers need to know, including: practical ways to deal with chemical, geological, and biological oceanographic data; and instructions on detecting the existence of patterns in what appears to be noise. Num Pages: 344 pages, Illustrations. BIC Classification: PDE; RBKC; TBJ. Category: (P) Professional & Vocational. Dimension: 244 x 167 x 25. Weight in Grams: 682. . 1997. 1st Edition. Hardcover. . . . . Nº de ref. del artículo: V9780471162216
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