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An introduction to the applications of objective
analysis methods to geoscience data. |
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n What can we say based on the data? |
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n What can we see from the data? |
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Explain Why we need a particular objective
analysis (statistical) method. |
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What is the mathematical (theoretical)
background behind this objective analysis (statistical) method? |
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Demonstrate this method with examples. |
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Computers |
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Department Linux Machine: system.ess.uci.edu (Linux) and
esmf.ess.uci.edu (IBM) |
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Software Packages |
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Matlab on system.ess.uci.edu and esmf.ess.uci.edu |
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Graph packages |
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Matlab on department machines |
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Week 1: Probability and Sampling |
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Review of Basic Statistics |
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Theoretical Probability Distributions |
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Small Sampling Theory |
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Confidence Level |
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Hypothesis Testing |
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Week 2: Regression Analysis |
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Linear Regression |
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Scattering |
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Theory of Correlation |
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Multiple Regression |
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Week 3: Time Series Analysis I |
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Autocorrelation Functions |
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Harmonic Analysis |
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Power Spectrum Analysis |
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