Introduction to Theory and Methods of Mathematical Statistics II

Course Number: 
312
Credits: 
3
Frequency: 
Fall, Spring
Course Description: 
Unbiased estimation, maximum likelihood estimation, confidence intervals, tests of hypotheses, Neyman-Pearson lemma, likelihood ratio test, regression, analysis of variance with applications.
Course Prerequisites: 
Stat 309 or Stat 311 or Math 431 (with Stat 311 recommended).
Course Audience: 
Students majoring in engineering or business.