Page 19 - MATLAB Recipes for Earth Sciences
P. 19

Recommended Reading                                               9

             more suitable programs than MATLAB for such analysis (e.g., Mardia
             1972; Upton and Fingleton 1990)


           Some of these methods require the application of numerical methods, such
           as interpolation techniques or certain methods of signal processing. The fol-
           lowing text is therefore mainly on statistical techniques, but also introduces
           a number of numerical methods used in earth sciences.



           Recommended Reading

           Borradaile G (2003) Statistics of Earth Science Data - Their Distribution  in Time, Space and
             Orientation. Springer, Berlin Heidelberg New York
           Carr JR (1995) Numerical Analysis for the Geological Sciences. Prentice Hall, Englewood
             Cliffs, New Jersey
           Davis JC (2002) Statistics and data analysis in geology, third edition. John Wiley and Sons,
             New York
           Mardia KV (1972) Statistics of Directional Data. Academic Press, London
           Middleton GV (1999) Data Analysis in the Earth Sciences Using MATLAB. Prentice Hall
           Press WH, Teukolsky SA, Vetterling WT (1992) Numerical Recipes in Fortran 77. Cambridge
             University Press
           Press WH, Teukolsky SA, Vetterling WT, Flannery BP (2002) Numerical Recipes in C++.
             Cambridge University Press
           Swan  ARH, Sandilands M (1995) Introduction to geological data analysis. Blackwell
             Sciences
           Upton GJ, Fingleton B (1990) Spatial Data Analysis by Example, Categorial and Directional
             Data. John Wiley & Sons
   14   15   16   17   18   19   20   21   22   23   24