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ST 534 Applied Time Series
Statistical models and methods for the analysis of time series data using both time domain and frequency domain approaches. An introduction and review of necessary statistical concepts will be given, and a statistical computing package will be introduced. Analyses of real data sets using statistical software will be emphasized.
Typically offered in Fall only
Statistics (PhD)
/graduate/sciences/statistics/statistics-phd/
1 Unless student has taken ST 542 Statistical Practice 2 A 500-level or 700-level course in either statistics or another department with material relevant to the student’s plan of work. Examples include ST 520 , ST 531 , ST 533 , ST 534 , ST 537 , ST 540 , ST 544 , ST 546 / MA 546 , ST 563 , ST 721 , ST 732 , ST 733 , ST 740 , ST 745 , ST 746 , ST 747 / MA 747 , and ST 790 3 Additional courses may include ST 801 , ST 895  and courses taken from a Master of Statistics or Master of Science in Statistics degree at NCSU.