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STAT 465

Multivariate Statistics

3 credits · Undergraduate

Fall 2024

Topics

  • Matrix algebra and random vectors
  • Sample geometry and random sampling
  • Multivariate normal distribution
  • Inference for mean vectors
  • Comparisons of multivariate means
  • Principal components
  • Factor analysis and structured covariance matrices
  • Canonical correlation
  • Discrimination and classification

Readings

  • Listed textbook (requirement not stated): R. A. Johnson and D. W. Wichern. Applied Multivariate Statistical Analysis, 6th edition. Pearson Prentice Hall, 2007.
    Listed reading
  • Reference (not explicitly required): C. R. Rao. Linear Statistical Inference and Its Applications, 2nd edition. Wiley, 1973.
    Listed reading
Fall 2022 · STAT 465

Readings

  • Applied Multivariate Statistical Analysis, 6th Edition, by R. A. Johnson and D. W. Wichern, Pearson Prentice Hall (2007).
    Listed reading; requirement unspecified
  • Linear Statistical Inference and Its Applications, 2nd Edition, by C. R. Rao, Wiley (1973).
    Listed reading; requirement unspecified
Fall 2021 · STAT 465

Readings

  • Applied Multivariate Statistical Analysis, 6th Edition, by R. A. Johnson and D. W. Wichern, Pearson Prentice Hall (2007).
    Listed reading; requirement unspecified
  • Linear Statistical Inference and Its Applications, 2nd Edition, by C. R. Rao, Wiley (1973).
    Listed reading; requirement unspecified
Sources