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EN.553.630

Mathematical Statistics

Johns Hopkins University 4 credits Applied Mathematics & Statistics

Course Description

Introduction to the basic principles of mathematical statistics and data analysis. Emphasis on techniques of application. Classical parametric estimation, hypothesis testing, and multiple decision problems; linear models, analysis of variance, and regression; nonparametric and robust procedures; decision-theoretic setting, Bayesian methods. Recommended Course Background: EN.553.620 AND ( AS.110.201 OR AS.110.212 OR EN.553.291 ). Prerequisite(s): Students may receive credit for EN.550.430/EN.553.430 or EN.553.630, but not both.;Students must have completed EN.553.420 OR EN.553.421 OR EN.553.620 prior to enrolling in EN.553.630.

Code
EN.553.630
Credits
4
Subject
Applied Mathematics & Statistics

Programs That Include This Course

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