Hierarchical Linear Models
Washington University in St. Louis · MO · PSYCH8068
Hierarchical Linear Models is a subject at Washington University in St. Louis, MO. It covers topics like linear-algebra, machine-learning, modelling, statistical-learning. It is part of 7 degrees. The information below is compiled from public course material — approximate, not official.
Washington University in St. Louis
PSYCH8068
3.00
Topics covered
Degrees that include Hierarchical Linear Models
- Psychological & Brain Sciences, PhD
- Quantitative Data Analysis, Graduate Certificate
- Statistics, Accelerated BA/MA, Applied Data Science Concentration
- Statistics, Accelerated BA/MA, Statistics Concentration
- Statistics and Data Science, MA, Applied Data Science Concentration
- Statistics and Data Science, MA, Statistics Concentration
- Statistics and Data Science, MA, Statistics for Political Science PhD Students Concentration
Frequently asked questions
What is Hierarchical Linear Models about?
Hierarchical Linear Models covers topics like linear-algebra, machine-learning, modelling, statistical-learning.
Which degrees include Hierarchical Linear Models?
Hierarchical Linear Models is part of 7 degrees, including Psychological & Brain Sciences, PhD, Quantitative Data Analysis, Graduate Certificate, Statistics, Accelerated BA/MA, Applied Data Science Concentration, Statistics, Accelerated BA/MA, Statistics Concentration, Statistics and Data Science, MA, Applied Data Science Concentration.
How many credit points is Hierarchical Linear Models?
Hierarchical Linear Models at Washington University in St. Louis is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Hierarchical Linear Models taught?
Hierarchical Linear Models is taught at Washington University in St. Louis, MO.
Studying Hierarchical Linear Models?
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Sources: Washington University in St. Louis public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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