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Covers the definition of multivariate Gaussian distribution and its properties, including moment generating function and linear combinations of variables.
Explores model selection in statistics, discussing principles, probabilistic models, characteristics evaluation, and data visualization methods.
Explores the fundamentals of attenuation correction in biomedical imaging and simplifies the process using the geometric mean at 180°.
Explores replicates, visualization methods, central tendency measures, outliers, dispersion, averages, residuals, and unbiased estimators.
