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ST 537 Applied Multivariate and Longitudinal Data Analysis
An introduction to use of statistical methods for analyzing multivariate and longitudinal data collected in experiments and surveys. Topics covered include multivariate analysis of variance, discriminant analysis, principal components analysis, factor analysis, covariance modeling, and mixed effects models such as growth curves and random coefficient models. Emphasis is on use of a computer to perform statistical analysis of multivariate and longitudinal data.
Typically offered in Fall and Spring
Statistics (PhD)
/graduate/sciences/statistics/statistics-phd/
1 Unless student has taken ST聽542 Statistical Practice 2 A 500-level or 700-level course in either statistics or another department with material relevant to the student鈥檚 plan of work. Examples include ST聽520 , ST聽531 , ST聽533 , ST聽534 , ST聽537 , ST聽540 , ST聽544 , ST聽546 / MA聽546 , ST聽563 , ST聽721 ,聽 ST聽732 , ST聽733 , ST聽740 , ST聽745 , ST聽746 , ST聽747 / MA聽747 , and聽 ST聽790 3 Additional courses may include聽 ST聽801 ,聽 ST聽895 聽and courses taken from a Master of Statistics or Master of Science in Statistics degree at NCSU.