NTU Course

Multivariate Statistical Analysis

Offered in 112-2
  • Serial Number

    43183

  • Course Number

    STAT5008

  • Course Identifier

    250 U0080

  • No Class

  • 3 Credits
  • Elective

    Institute of Applied Mathematical Sciences / Institute of Statistics and Data Science

      Elective
    • Institute of Applied Mathematical Sciences

    • Institute of Statistics and Data Science

  • YU-TING CHEN
  • Fri 2, 3, 4
  • 新501

  • Type 2

  • 30 Student Quota

    NTU 30

  • No Specialization Program

  • Chinese
  • NTU COOL
  • Core Capabilities and Curriculum Planning
  • Notes
  • Limits on Course Adding / Dropping
    • Restriction: within this department (including students taking minor and dual degree program)

  • NTU Enrollment Status

    Enrolled
    0/30
    Other Depts
    0/0
    Remaining
    0
    Registered
    0
  • Course Description
    This course is designed to provide students with fundamental concepts underlying the multivariate techniques and help students develop the statistical skills to approach and analyze multivariate data correctly.
  • Course Objective
    On completion of this course, students should be able to: 1. select appropriate methods of multivariate data analysis; 2. implement software programs to carry out multivariate data analysis; 3. give meaningful interpretations on the analysis results.
  • Course Requirement
    Linear algebra, probability, mathematical statistics, and linear regression. Basic computer programming knowledge is also required.
  • Expected weekly study hours before and/or after class
  • Office Hour
  • Designated Reading
  • References
    Johnson, R. A., & Wichern, D. W. (2014) Applied multivariate statistical analysis (6th Edition), Pearson Prentice Hall. Izenman, A. J. (2008) Modern multivariate statistical techniques, Springer.
  • Grading
    1. NTU has not set an upper limit on the percentage of A+ grades.
    2. NTU uses a letter grade system for assessment. The grade percentage ranges and the single-subject grade conversion table in the NATIONAL TAIWAN UNIVERSITY Regulations Governing Academic Grading are for reference only. Instructors may adjust the percentage ranges according to the grade definitions. For more information, see the Assessment for Learning Section
  • Adjustment methods for students
  • Make-up Class Information
  • Course Schedule