- Hardcover: 343 pages
- Publisher: Wiley; 1 edition (Feb 19 1997)
- Language: English
- ISBN-10: 0471162213
- ISBN-13: 978-0471162216
- Product Dimensions: 24.4 x 16.4 x 2.3 cm
- Shipping Weight: 712 g
- Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
- Amazon Bestsellers Rank: #1,737,501 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Details |
Product Description
Review
"...It presents many well discussed and illustrative examples..." (Zentralblatt Math, Vol.988, No.13, 2002)
Book Description
Oceanography calls for a wide variety of mathematical and statistical techniques, and this accessible treatment provides the basics every oceanographer needs to know, including
* Practical ways to deal with chemical, geological, and biological oceanographic data
* Instructions on detecting the existence of patterns in what appears to be noise
* Numerous examples from the field that highlight the application of the methods presented
Written by an oceanographer and based on his successful course at the University of Hawaii, the volume is well suited to a two-semester course at the graduate level. The book reviews the necessary calculus, clarifies statistical concepts, and includes end-of-chapter problems that illustrate and expand the various topics. Tips on using MATLAB(r) software in matrix operations complement chapters that deal with the formulation of relationships in terms of matrices.
The main body of the text covers the actual methods of dealing with data--including least squares and linear regression, correlation functions and analysis of variance, means and error bounds, nonlinear techniques and weighted least squares, numerical integration, and other modeling techniques. Unlike most introductory texts, Mathematical Methods for Oceanographers discusses regression methods in great detail, and includes an analysis of why certain methods produce unbiased parameter estimates. Finally, the chapter on time series analysis covers an area of particular interest to physical oceanographers.
The numerous problems and solutions included in the book enable readers to check their understanding of concepts and techniques as well as their ability to apply what they have learned.
A must-read for students of oceanography, this text/reference is also useful for professionals in the field, as well as for fisheries scientists, biologists, and those in the environmental sciences.
A systematic introduction to the mathematics oceanographers need
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
* Practical ways to deal with chemical, geological, and biological oceanographic data
* Instructions on detecting the existence of patterns in what appears to be noise
* Numerous examples from the field that highlight the application of the methods presented
Written by an oceanographer and based on his successful course at the University of Hawaii, the volume is well suited to a two-semester course at the graduate level. The book reviews the necessary calculus, clarifies statistical concepts, and includes end-of-chapter problems that illustrate and expand the various topics. Tips on using MATLAB(r) software in matrix operations complement chapters that deal with the formulation of relationships in terms of matrices.
The main body of the text covers the actual methods of dealing with data--including least squares and linear regression, correlation functions and analysis of variance, means and error bounds, nonlinear techniques and weighted least squares, numerical integration, and other modeling techniques. Unlike most introductory texts, Mathematical Methods for Oceanographers discusses regression methods in great detail, and includes an analysis of why certain methods produce unbiased parameter estimates. Finally, the chapter on time series analysis covers an area of particular interest to physical oceanographers.
The numerous problems and solutions included in the book enable readers to check their understanding of concepts and techniques as well as their ability to apply what they have learned.
A must-read for students of oceanography, this text/reference is also useful for professionals in the field, as well as for fisheries scientists, biologists, and those in the environmental sciences.
A systematic introduction to the mathematics oceanographers need
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
Inside This Book
(Learn More)
First Sentence
We begin our study of mathematics applied to oceanography by reviewing some basic mathematical concepts, in particular, certain aspects of calculus. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
We begin our study of mathematics applied to oceanography by reviewing some basic mathematical concepts, in particular, certain aspects of calculus. Read the first page
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Concordance
Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most helpful customer reviews
5.0 out of 5 stars
Excellent!,
By A Customer
This review is from: Mathematical Methods for Oceanographers: An Introduction (Hardcover)
Sound, thorough, readable and practical. Keep it handy when it comes time to make sense of all those data points you struggled to collect at sea.
Share your thoughts with other customers: Create your own review
Most Helpful Customer Reviews on Amazon.com (beta) Amazon.com:
5.0 out of 5 stars (1 customer review) 1 of 3 people found the following review helpful
5.0 out of 5 stars
Excellent!,
By A Customer - Published on Amazon.com
This review is from: Mathematical Methods for Oceanographers: An Introduction (Hardcover)
Sound, thorough, readable and practical. Keep it handy when it comes time to make sense of all those data points you struggled to collect at sea.
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