Notes
Outline
Geoscience Data Analysis (ESS210B)
Text Books
Course Description
An introduction to the applications of objective analysis methods to geoscience data.
n What can we say based on the data?
n What can we see from the data?
What Can You Say?
What Can You See?
Formats of Instruction
Explain Why we need a particular objective analysis (statistical) method.
What is the mathematical (theoretical) background behind this objective analysis (statistical) method?
Demonstrate this method with examples.
Computer Accounts
Computers
    Department Linux Machine: system.ess.uci.edu (Linux) and esmf.ess.uci.edu (IBM)
Software Packages
    Matlab on system.ess.uci.edu and esmf.ess.uci.edu
Graph packages
     Matlab on department machines
Syllabus
Week 1: Probability and Sampling
Review of Basic Statistics
Theoretical Probability Distributions
Small Sampling Theory
Confidence Level
Hypothesis Testing
Week 2: Regression Analysis
Linear Regression
Scattering
Theory of Correlation
Multiple Regression
Week 3: Time Series Analysis I
Autocorrelation Functions
Harmonic Analysis
Power Spectrum Analysis