Computational Statistics in Climatology

Author:   Ilya Polyak (Visiting Associate Professor, Visiting Associate Professor, Texas A&M University)
Publisher:   Oxford University Press Inc
ISBN:  

9780195099997


Pages:   376
Publication Date:   29 August 1996
Format:   Hardback
Availability:   To order   Availability explained
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Computational Statistics in Climatology


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Overview

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 ultimately characterize 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 and methods of random functions.

Full Product Details

Author:   Ilya Polyak (Visiting Associate Professor, Visiting Associate Professor, Texas A&M University)
Publisher:   Oxford University Press Inc
Imprint:   Oxford University Press Inc
Dimensions:   Width: 16.40cm , Height: 3.10cm , Length: 24.30cm
Weight:   0.714kg
ISBN:  

9780195099997


ISBN 10:   0195099990
Pages:   376
Publication Date:   29 August 1996
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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


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


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