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Statistical Mining and Data Visualization in Atmospheric Sciences

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Cover of 'Statistical Mining and Data Visualization in Atmospheric Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Guest Editorial: Statistical Mining and Data Visualization in Atmospheric Sciences
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    Chapter 2 Euclidean Distance Based Permutation Methods in Atmospheric Science
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    Chapter 3 Bootstrapping to Assess and Improve Atmospheric Prediction Models
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    Chapter 4 Using Linked Micromap Plots to Characterize Omernik Ecoregions
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    Chapter 5 Visual Data Mining in Atmospheric Science Data
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Title
Statistical Mining and Data Visualization in Atmospheric Sciences
Published by
Springer US, March 2013
DOI 10.1007/978-1-4757-6581-6
ISBNs
978-1-4419-4974-5, 978-1-4757-6581-6
Editors

Brown, Timothy J., Mielke, Paul W.

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