BSTA 551 Theory of Statistical Inference

Credits: 4
This course introduces theoretical foundation in Biostatistics. Topics will include distributions of random variables (location-scale families and exponential families), data reduction (sufficiency and completeness of statistics), methods of estimation (method of moment estimators and maximum likelihood estimators), convergence, finite and large sample properties of estimators, interval estimation, hypothesis testing, asymptotic tests (likelihood-ratio tests, score tests, and Wald tests), and statistical simulations to evaluate statistical methods.

Graded: A-F
May be taken only once for credit