Statistical Methods in the Atmospheric Sciences [NOOK Book]

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Overview

Praise for the First Edition:
"I recommend this book, without hesitation, as either a reference or course text...Wilks' excellent book provides a thorough base in applied statistical methods for atmospheric sciences."--BAMS (Bulletin of the American Meteorological Society)

Fundamentally, statistics is concerned with managing data and making inferences and forecasts in the face of uncertainty. It should not be...
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Statistical Methods in the Atmospheric Sciences

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More About This Book

Overview

Praise for the First Edition:
"I recommend this book, without hesitation, as either a reference or course text...Wilks' excellent book provides a thorough base in applied statistical methods for atmospheric sciences."--BAMS (Bulletin of the American Meteorological Society)

Fundamentally, statistics is concerned with managing data and making inferences and forecasts in the face of uncertainty. It should not be surprising, therefore, that statistical methods have a key role to play in the atmospheric sciences. It is the uncertainty in atmospheric behavior that continues to move research forward and drive innovations in atmospheric modeling and prediction.

This revised and expanded text explains the latest statistical methods that are being used to describe, analyze, test and forecast atmospheric data. It features numerous worked examples, illustrations, equations, and exercises with separate solutions. Statistical Methods in the Atmospheric Sciences, Second Edition will help advanced students and professionals understand and communicate what their data sets have to say, and make sense of the scientific literature in meteorology, climatology, and related disciplines.

* Presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting
* Chapters feature numerous worked examples and exercises
* Model Output Statistic (MOS) includes an introduction to the Kalman filter, an approach that tolerates frequent model changes
* Detailed section on forecast verification, including statistical inference, diagrams, and other methods

New in this Edition:
* Expanded treatment of resampling tests within nonparametric tests
* Updated treatment of ensemble forecasting
* Expanded coverage of key analysis techniques, such as principle component analysis, canonical correlation analysis, discriminant analysis, and cluster analysis
* Careful updates and edits throughout, based on users' feedback
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Editorial Reviews

From the Publisher
"I would strongly recommend this book... To those who already posses the first edition...you would be hard-pressed to do without the second."
—Bulletin of the American Meteorological Society

"What makes this book specific to meterology, and not just to applied statistics, are it's extensive examples and two chapters on statistcal forecasting and forecast evaluation."
-William (Matt) Briggs, Weill Medical College of Cornell University

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Product Details

  • ISBN-13: 9780080456225
  • Publisher: Elsevier Science
  • Publication date: 12/12/2005
  • Series: International Geophysics , #100
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 2
  • Pages: 648
  • File size: 16 MB
  • Note: This product may take a few minutes to download.

Table of Contents

Ch. 1 Introduction 3
Ch. 2 Review of probability 7
Ch. 3 Empirical distributions and exploratory data analysis 23
Ch. 4 Parametric probability distributions 71
Ch. 5 Hypothesis testing 131
Ch. 6 Statistical forecasting 179
Ch. 7 Forecast verification 255
Ch. 8 Time series 337
Ch. 9 Matrix algebra and random matrices 403
Ch. 10 The multivariate normal (MVN) distribution 435
Ch. 11 Principal component (EOF) analysis 463
Ch. 12 Canonical correlation analysis (CCA) 509
Ch. 13 Discrimination and classification 529
Ch. 14 Cluster analysis 549
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