Climate Time Series Analysis: Classical Statistical and Bootstrap Methods

This is a comprehensive description of the modern statistical methods in time series analysis. Climatology is one of the most important fields for time series analysis: there are many observational records (time series), with the underlying dynamical system being unknown – here time series analysis is one of the few (and maybe even the only) ways of studying such records. The book provides a modern outlook of the methodology and solid analysis for records of general origin (for instance, researchers working with medical records may well benefit from the book). It could be especially valuable for students studying climatology, dynamical systems and time series analysis: it contains practicals and clear algorithm for estimation of confidence intervals and uncertainties. What is particularly important is that the uncertainties are estimated in both data and time scale, which is a serious issue in studying paleorecords. The book is not cheap. But it is worth its price once you recognize that it provides: (1) algorithms ready to implement on your computer, (2) references to groundbreaking work in climatology and statistics and (3) a fresh, multidisciplinary look on climate!