基本信息·出版社：Academic Press ·页码：648 页 ·出版日期：2005年12月 ·ISBN：0127519661 ·条形码：9780127519661 ·装帧：精装 ·正文语种：英语 ...
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Statistical Methods in the Atmospheric Sciences, Volume 91, Second Edition |
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Statistical Methods in the Atmospheric Sciences, Volume 91, Second Edition |
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基本信息·出版社：Academic Press
·页码：648 页
·出版日期：2005年12月
·ISBN：0127519661
·条形码：9780127519661
·装帧：精装
·正文语种：英语
·丛书名：International Geophysics
内容简介 在线阅读本书
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
作者简介 Rand R. Wilcox has a Ph.D. in psychometrics, is a professor of psychology at the University of Southern California, and a Fellow of the Royal Statistics Society and American Psychological Society. He is an internationally recognized expert in the field of Applied Statistics and has concentrated much of his research in the area of ANOVA and Regression. He has authored twobooks and more than 130 journal articles.
编辑推荐 Review
"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
Review
"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
