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The theory behind statistical modelling and its link to practical applications. The course covers: random variables and their distributional properties, models for discrete and continuous data, estimation of model parameters, assessment of goodness-of-fit, model selection, confidence intervals and hypothesis tests.
There are no offerings currently available for this course
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