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STA 426 Multivariate Methods and Stochastic Processes

HND2 levelSciences21 topics

STA 426 covers 21 topics. StudyPath paces them into daily study sessions that finish before your exam date, with practice questions and worked answers for each one.

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Course outline

The topics this course covers, in teaching order.

  1. Joint, marginal and conditional distributions
  2. Cumulative distribution function for multivariate variables
  3. Multivariate normal distribution
  4. Marginal and conditional distributions of multivariate normal
  5. Linear combinations of normal variables
  6. Discriminant analysis
  7. Fisher’s linear discriminant function
  8. Principal component analysis
  9. Principal components
  10. Population principal components
  11. Sample principal components
  12. Applications of principal components
  13. Factor analysis
  14. Factor loading
  15. Applications of factor analysis
  16. Hotelling’s T² distribution
  17. T² tests and confidence regions for mean vectors
  18. Stochastic processes
  19. Markov processes and Markov chains
  20. Poisson processes
  21. Birth and death processes

A sample from this course

One topic, as StudyPath teaches it.

Joint, marginal and conditional distributions

Joint, marginal and conditional distributions describe how two (or more) random variables relate to each other. Mastering them is essential for computing probabilities, expectations and for understanding independence – all core questions in the NUC, CCMAS, NBTE and NCCE exams.

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