Computational Statistics in Climatology

Hardcover | April 30, 1999

byIlya Polyak

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Scientific descriptions of the climate have traditionally been based on the study of average meteorological values taken from different positions around the world. In recent years however it has become apparent that these averages should be considered with other statistics that ultimatelycharacterize spatial and temporal variability. This book is designed to meet that need. It is based on a course in computational statistics taught by the author that arose from a variety of projects on the design and development of software for the study of climate change, using statistics andmethods of random functions.

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Scientific descriptions of the climate have traditionally been based on the study of average meteorological values taken from different positions around the world. In recent years however it has become apparent that these averages should be considered with other statistics that ultimatelycharacterize spatial and temporal variability. T...

Ilya Polyak is at Texas AandM University.
Format:HardcoverDimensions:376 pages, 9.57 × 6.46 × 1.22 inPublished:April 30, 1999Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:0195099990

ISBN - 13:9780195099997

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Table of Contents

1. Digital Filters2. Averaging and Simple Models3. Random Processes and Fields4. Variability of ARMA Processes5. Multivariate AR Processes6. Historical Records7. The GCM Validation8. Second Moments of RainReferencesIndex

Editorial Reviews

"Presents two major areas of application: multidimensional spectral and correlation analysis; and multivariate autoregressive modelling" --Geo Abstracts