Applications of time series analysis in astronomy and meteorology

書誌事項

Applications of time series analysis in astronomy and meteorology

edited by T. Subba Rao, M. B. Priestley and O. Lessi

Chapman & Hall, 1997

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

>Statistical techniques, in particular time series techniques, are widely used in astronomy and meteorology. Despite this, until recently there had been no attempt to bring researchers from the fields of statistics, astronomy, and meteorology together to discuss and formalize important problems. Applications of Time Series Analysis in Astronomy and Meteorology brings together a series of papers by experts in the above-mentioned fields. The material presented covers the theory and methodology of time series and their applications to astronomy, meteorology, and climatology. The book considers topics such as detection of periodicities, spectral analysis of unequally spaced data, detection of change points and higher order spectral methods of non-linear and non-Gaussian signals. The material also address the estimation of fractal dimension and applications of wavelet methods to astronomy.

目次

Time Series-Theory and Methodology A Short History of Time Series Applications to Meteorology and Astronomy Frequency Estimation Asymptotic Expansion of Estimators for Diffusion with Small Noises Spatial-Temporal Spectral Analysis with Random Sampling Detection of Periodicities Spectral and Multivariate Density Estimation of Continuous Time Stationary Processes from Randomly Sampled Data Minimum Distance Approach in Parametric Estimation for Diffusion Processes From Data to Models Filtering of Spatial-Time Series Time Domain and Frequency Domain Analysis of Nonlinear Astronomical Time Series Applications to Astronomy Time Series Problems in Astronomy: An Introduction Time Delay Estimates for Q0957 + 561A, B Continuum Power Spectrum Components in X-Ray Sources: Detailed Modelling and Search for Coherent Periodicities Wavelet Methods in Astronomical Time Series Analysis Non-parametric Methods for Shift and Periodicity Detection in Irregularly Measured Data A Multi-Channel, Cross-Spectral Technique for Calculating Best-Fit Time Delay Spectra Period Analysis of Variable Stars Change Analysis of Astronomical Data Doppler Tomography of Starspot Distributions on Stellar Surfaces Nowcasting Astronomical Seeing and Forecasting Telescope Environment for the ESO VLT Linear and Nonlinear Modelling of the Geomagnetic AA Indices A Sample of Astronomical Time Series Applications to Meteorology and Climatology Problems and Examples in the Estimation of Fractal Dimension from Meterological and Earthquake Data Characterizing Trends in Climatological Time Series: An Application to Brera Observatory (Milan) Rainfall Series Applications of Singular Spectrum Analysis to Climatological Time Series Deterministic Signals in Climate, Experiments, and Theory Change Points in Hydrometeorological Time Series Detection of Pollution Signal in Tree Ring Series Using AR Processes and Neural Networks Statistical Verification Studies and Future Scenarios of Modelled Climate Change Due to the Greenhouse Effect Controlling the Homogenity of a Long Meteorological Series: The Series of Podova (1725-present)

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