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The project involves sampling designs and summarizing data, maximum likelihood estimation of parameters, bootstrap, parametric and non-parametric inference, the analysis of variance, linear least squares, categorical data, elements of the decision theory and bayesian inference.

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sampling-designs maximum-likelihood-estimation bootstrap-sampling parametric-inference nonparametric-statistics analysis-of-variance linear-least-squares categorical-data bayesian-inference

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