Incluye bibliografía e índice: páginas 339-343

Preface.. 1 Calculus Review.. 2 Model I Linear Regression.. 3 Correlation.. 4 Model II Linear Regression.. 5 Polynomial Curve Fitting, Linear Multiple Regression Analysis, and Nonlinear Least Squares.. 6 Numerical Integration.. 7 Box Models.. 8 Time Series Analysis.. Appendix A.. Appendix B.. Appendix C.. Appendix D.. Appendix E.. Appendix F.. Appendix G.. Answers to Exercises.. Index

"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." Inglés