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Institution:
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George Mason University
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Subject:
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Description:
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Credits: 3 Introduction to a core set of statistical methods that have proven useful to modern climate and predictability research. Topics include detecting and attributing climate change, describing climate variability with empirical orthogonal functions, statistical forecasting with regression and time series models, and identifying coupled patterns of variability with canonical correlation analysis. Prerequisites Undergraduate-level linear algebra and STAT 344 (or equivalent), or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(703) 993-1000
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Regional Accreditation:
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Southern Association of Colleges and Schools
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Calendar System:
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Semester
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