TY  - GEN
N2  - 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.--
DO  - 10.1007/978-3-030-58055-1
DO  - doi
AB  - 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.--
T1  - Time series analysis in climatology and related sciences /
AU  - Privalʹskiĭ, V. E.
CN  - QA280
ID  - 1432628
KW  - Time-series analysis.
KW  - Climatology
KW  - Série chronologique.
SN  - 3030580555
SN  - 9783030580551
TI  - Time series analysis in climatology and related sciences /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-58055-1
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-58055-1
ER  -