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ECSE 621 Stat. Detection and Estimation (4 credits)

Offered by: Electrical & Computer Engr (Faculty of Engineering)

Administered by: Graduate Studies


Electrical Engineering : Statistical detection and estimation lies at the intersection of telecommunications, signal processing and mathematical statistics. Subjects include: hypothesis testing (Neyman-Pearson, Bayes, minimax, nuisance parameters, composite hypotheses, generalized likelihood), estimation theory (maximum-likelihood, maximum aposteriory probability, linear estimation, Cramer-Rao bounds).

Terms: Winter 2013

Instructors: Harry Leib (Winter)

  • (3-0-9)
  • Prerequisites: ECSE 411 or ECSE 511, ECSE 510