STAT 5501
Mathematical Statistics II
Confidence intervals and pivotals; Bayesian intervals; optimal tests and Neyman-Pearson theory; likelihood ratio and score tests; significance tests; goodness-of-fit-tests; large sample theory and applications to maximum likelihood and robust estimation.
2021
Topics
- alternative; UMP tests for testing certain composite hypotheses, UMP unbiased tests
- Asymptotic relative efficiency of tests.
- confidence sets (pivotal quantities, inverting acceptance regions of tests, Bayesian intervals)
- criteria for selecting interval estimators, properties of confidence sets, asymptotic confidence
- sets.
- methods of the classical Hypothesis Testing Theory whose knowledge is required in various
- valuable skills in constructing efficient testing procedures in parametric and nonparametric
- settings.
Prerequisites & course information
Prerequisite(s): STAT 5600 or permission of the School. Also offered at the undergraduate level, with different requirements, as STAT 4507 , for which additional credit is precluded.
Sources
- Course catalogue ↗2026–2027
- STAT 5501W W22 ↗2021