◎ STAT 425 - Modern Methods of Data Analysis

(3 S.H.)

An introduction to the use of the computer as a powerful tool in data analysis. Topics will include statistical graphics, advanced regression techniques, curve fitting and smoothing, generalized additive models, CART, multivariate techniques, cross-validation and the bootstrap. Additional topics that may be covered are random number generation and Monte Carlo simulation methods. Prerequisites: MATH 242 - Linear Algebra, STAT 360 - Regression Analysis, or instructor’s permission. Offered alternate spring semesters.

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