Название: Time Series Analysis in Climatology and Related Sciences
Автор: Victor Privalsky
Издательство: Springer
Год: 2021
Формат: pdf
Страниц: 253
Размер: 10,3 МБ
Язык: English

This book gives the reader the basic knowledge of the theory of random processes necessary for applying to study climatic time series. It contains many examples in different areas of time series analysis such as autoregressive modelling and spectral analysis, linear extrapolation, simulation, causality, relations between scalar components of multivariate time series, and reconstructions of climate data.

As an important feature, the book contains many practical examples and recommendations about how to deal and how not to deal with applied problems of time series analysis in climatology or any other science where the time series are short.