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ST3240 Multivariate Statistics (Lec 16 (est mini TPM for Unequal sigma,…
ST3240 Multivariate Statistics
Lec 16
est mini TPM for Unequal sigma
est mini TPM for equal-covariance Nor pop
11.6
Fisher Method for discriminating among several pop.
Classification with Normal Population
Lec 17
Using Fisher's Discriminants to classify objects
Fisher's sample Linear Discriminats
PCA
Lec 10
Interpretation
Sample Principal Component
Standardizing
Sample Principal Components
8.4 Graphing
Principal Components
Lec 11
8.5
Large Sample Inference
Lec 6
12.3
Hierarchical clustering Method
Lec 7
12.4
Nonhierarchical clustering Method
K means method
PCA
8.1
Introduction
8.2
Population Principal Components
Lec 8
Result 8.1
Cov matix, eigenvalue & eigenvector
Result 8.2
total variance of ith p.c. is trace
Result 8.3
correlation coefficients btw p.c.Yi & variable Xk
Result 8.4
P.C. from
standardize variable Z
Lec 9
Covariance Matrices with special structure (diagonal matrix)
Summarize sample variation by P.C.
Number of Principal Component (how many ?)
scree plot
DA(Discrimination & classification)
Lec 11
Need to study again
Lec 9
to p.7