Statistical Modeling: Fundamentals and Process Factors

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Page 3 of 4

Covers statistical design of experiments, focusing on minimizing costs and maximizing accuracy.

Explores the statistical properties of the Freely-Jointed-Chain model and the Worm-like Chain Model transition from discrete to continuum.

Discusses experimental design strategies, factors, responses, treatment combinations, and degrees of freedom.

Explains the calculation of statistical significance in spatial statistics using permutation and randomization methods.

Introduces experimental design in biostatistics, covering research process, hypothesis testing, ANOVA modeling, and interpretation of results.

Explores randomization tests as an alternative to t-tests for experimental analysis, using fake data to assess treatment effectiveness.

Explores paired tests using a shoe sole experiment, showing significant differences between materials A and B.

Covers the design and analysis of experiments, focusing on statistics for experimenters.

Covers advanced probability concepts, including Bayes' Theorem and Random Variables.

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.