Data analysis and statistics for geography, environmental science, and engineering /
by Miguel F. Acevedo
- Boca Raton : CRC Press, 2013.
- xxi, 535p.
Part I Introduction to Probability, Statistics, Time Series, and Spatial Analysis-- 1.Introduction-- 2.Probability Theory-- 3. Random Variables, Distributions, Moments, and Statistics-- 4. Exploratory Analysis and Introduction to Inferential Statistics-- 5. More on Inferential Statistics: Goodness of Fit, Contingency Analysis, and Analysis of Variance-- 6. Regression-- 7. Stochastic or Random Processes and Time Series-- 8. Spatial Point Patterns-- Part II Matrices, Tempral and Spatial Autoregressive Processes, and Multivariate Analysis-- 9. Matrices and Linear Algebra-- 10. Multivariate Models-- 11. Dependent Stochastic Processes and Time Series-- 12. Geostatistics: Kriging-- 13.Spatial Auto-Correlation and Auto-Regression-- 14. Multivariate Analysis I: Reducing Dimensionality-- 15. Multivariate Analysis