STT-861

STT-861
  • THEORY OF PROBABILITY & STATISTICS I

About the Course

  • Probability models, random variables and vectors. Special distributions including exponential family. Expected values, covariance matrices, moment generating functions. Convergence in probability and distribution. Weak Law of Large Numbers and Lyapunov Central Limit Theorem.
  • Fall (every) Credits: 3
  • Elective: PhD Epidemiologym PhD Biostatistics

Prerequisite

  • N/A