Time series modelling in Earth sciences

Novel features of this book include the latest theories and applications of Time Series Modelling : Intended for students, faculties and professionals having background of multivariate statistics, who wish to apply Time Series methods without toiling on Advanced Mathematics, Highlights linear methods to yield ARIMA, SARIMA models and their multivariate (vector) extensions, time and frequency domains are given equal importance since these two are complementary, highlights nonlinear methods as well as State-Space, dynamic linear, wavelet, volatility and long memory models, includes several solved case studies from mining, ore genesis, earthquakes, and climatology, and also several exercises and solved examples.