Statistical Methods in the Atmospheric Sciences by Daniel S Wilks
Explains the various statistical methods that are being used to describe, analyze, test and forecast atmospheric data. This title helps 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.-
Atmosphere-Ocean Dynamics
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Global Physical Climatology
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An Introduction to Dynamic Meteorology
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Introduction to Geophysical Fluid Dynamics
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International Handbook of Earthquake & Engineering Seismology, Part B
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Earth System Science
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Chemistry of the Natural Atmosphere
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Cloud Dynamics
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An Introduction to Atmospheric Gravity Waves
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Geophysical Data Analysis: Discrete Inverse Theory
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Planets and Their Atmospheres
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An Introduction to Mining Seismology
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The Earth's Ionosphere
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Geophysical Data Analysis
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International Handbook of Earthquake & Engineering Seismology, Part A
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Physics and Chemistry of the Solar System
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Middle Atmosphere Dynamics
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Storm and Cloud Dynamics
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Introduction to Micrometeorology
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Thermodynamics of Atmospheres and Oceans
"I would strongly recommend this book.. To those who already posses the first edition and are satisfied users, you would be hard-pressed to do without the second edition." --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 "Wilks (earth and atmospheric sciences, Cornell U.) presents a textbook for an upper-division undergraduate or beginning graduate course for students who have completed a first course in statistics and are interested in learning further statistics in the context of atmospheric sciences. No mathematics beyond first-year calculus is required, nor any background in atmospheric science, though some would be helpful. He also has in mind researchers using the book as a reference. No dates are cited for previous editions, this one adds a chapter on Bayesian inference, updates the treatment throughout, and includes new references to recently published literature." --SciTech Book News
Daniel S. Wilks is a Professor Emeritus at Cornell University and has been a Member of the Atmospheric Sciences faculty since 1987. His research focuses on the application of statistical methods for the quantification and analysis of uncertainty in meteorological and climatological data and forecasts. Dr. Wilks has taught courses on statistics in the atmospheric sciences and has been an Author or Coauthor of more than 100 peer-reviewed research articles.
| SKU | Unavailable |
| ISBN 13 | 9780123850225 |
| ISBN 10 | 0123850223 |
| Title | Statistical Methods in the Atmospheric Sciences |
| Author | Daniel S Wilks |
| Series | International Geophysics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Elsevier Science Publishing Co Inc |
| Year published | 2011-07-04 |
| Number of pages | 704 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |