In this paper we present some recently developed time series analysis methods. Further, we apply these methods to a suite of climatological and synthetic time series. We show what information (or statistical significance) that can be drawn from such time series and which otherwise, i.e. by simpler methods, would be difficult to extract. We conclude by recommending the use of advanced statistical time series analysis for a wide range of applications connected to studies of climate variability and climate change.
机构:
Indian Stat Inst, Theoret Stat & Math Unit, Kolkata 700035, W Bengal, IndiaIndian Stat Inst, Theoret Stat & Math Unit, Kolkata 700035, W Bengal, India
Chaudhuri, P
Marron, JS
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机构:Indian Stat Inst, Theoret Stat & Math Unit, Kolkata 700035, W Bengal, India
机构:
Indian Stat Inst, Theoret Stat & Math Unit, Kolkata 700035, W Bengal, IndiaIndian Stat Inst, Theoret Stat & Math Unit, Kolkata 700035, W Bengal, India
Chaudhuri, P
Marron, JS
论文数: 0引用数: 0
h-index: 0
机构:Indian Stat Inst, Theoret Stat & Math Unit, Kolkata 700035, W Bengal, India