This book has been designed to serve as a text book for post graduate-students and research workers in earth sciences who require a background of and a feel for statistics and the theory of regionalised variables. Although the word geostatistics is used throughout Europe signalling the theory of regionalised variables as propounded by geoscientists at the Centre de Geostatistique, France, still it was considered necessary to include in this book some important classical statistical methods which are essential for modelling the processes concerning earth resource systems for optimum appraisal. The first four chaptersdeal with the classical statistical methods including a discussion on Box-Jenkins models of time series analysis. The next four chapters deal with a discussion on the theory of regionalised variables and restricted upto Kriging (stationary case). The last chapter deals exclusively with the software developed for some of the problems. Written from the perpective of the mining industry Includes codes for six computer programs Includes good worked examples INDICE: Preface.- 1. Statistical Methods in Earth Sciences.- 2. UnivariateStatistical Methods, Frequency Analysis and Simulation.- 3. Some Statistical Distributions.- 4. Stochastic Modelling (Time Series Analysis) and Forecasting.- 5. Concepts of Regionalised Variables and Variogram Modelling.- 6. Regularised Models, Volume-Variance Relationships and Economics.- 7. The Concepts of Dispersion, Extension and Estimation.- 8. Kriging Variance and Kriging Procedure.- 9. Introduction to Advanced Geostatistics.- 10. Computer Software.- Bibliography.- Index.
- ISBN: 978-1-4020-9379-1
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 250
- Fecha Publicación: 01/03/2009
- Nº Volúmenes: 1
- Idioma: Inglés