Time series analysis ain climatology and related sciences /

Time series analysis ain climatology and related sciences /

Saved in:

Bibliographic Details
Author / Creator:	Privalʹskiĭ, V. E. (Viktor Evseevich)
Imprint:	Cham : Birkhäuser, 2021.
Description:	1 online resource
Language:	English
Series:	Progress in geophysics, 2523-8388 Progress in geophysics,
Subject:	Time-series analysis. Climatology -- Statistical methods. Time-series analysis. Climatology -- Statistical methods. Climatology. Geophysics. Statistics. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12609153

Hidden Bibliographic Details
ISBN:	9783030580551 3030580555 3030580547 9783030580544
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references. Online resource; title from PDF title page (SpringerLink, viewed February 9, 2021).
Summary:	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.
Other form:	Original 3030580547 9783030580544
Standard no.:	10.1007/978-3-030-58055-1

Table of Contents:

Chapter 1
Introduction
Chapter 2
Basics of Scalar Random Processes
Chapter 3
Time and Frequency Domain Models of Scalar Time Series
Chapter 4
Practical Analysis of Time Series.-Chapter 5
Stochastic models and spectra of climatic and related time series
Chapter 6
Statistical Forecasting of Geophysical Processes
Chapter 7
Bivariate Time Series Analysis
Chapter 8
Teleconnection Research and Bivariate Extrapolation
Chapter 9
Reconstruction of Time Series
Chapter 10
Frequency domain structure and feedbacks in QBO time series
Chapter 11- Verification of General Circulation Models
Chapter 12
Applications to proxy data
Chapter 13
Application to Sunspot Numbers and Total Solar Irradiance
Chapter 14
Multivariate time and frequency domain analysis
Chapter 15
Summary and Recommendations.