مادة دراسية
STAT 520
, This course offers an introduction to probability Theory and applications: Central Limit Theorem, Sampling, time series
empirical distribution.
Coverage of Planned Program | |||
Topics Covered |
Planned Contact Hours | Actual Contact Hours | Reason for Variations if there is a difference of more than 25% of the hours planned |
Probability space, Sequence of Events, Random variables, Distribution functions, Expectations. | 8 | 8 | None |
Marginal and conditional probability functions - Conditional expectation and variation. | 8 | 8 | None |
Functions of r.v.’s, Multivariate distributions. | 8 | 8 | None |
Characteristics functions, Central limit theorem and proof. | 4 | 4 | None |
Sampling distribution of order statistics. | 8 | 8 | None |
Empirical distribution functions | 4 | 4 | None |
Useful convergence results | 6 | 6 | None |