Student's t-distribution

Formal sciences
Statistics
Statistical inference
Statistical hypothesis testing

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Multivariate Statistics: Wishart and Hotelling T²

Explores the Wishart distribution, properties of Wishart matrices, and the Hotelling T² distribution, including the two-sample Hotelling T² statistic.

Copulas and Extreme Values

Explores copulas for measuring dependence strength in distributions and transforming variables to unit Fréchet margins.

Fracture Mechanics: Crack Growth and Weakest Link

Explores fracture mechanics, crack growth, and the weakest link theory, emphasizing the statistical distribution of crack sizes and the significance of the largest crack in material failure.

Sampling Distributions: Theory and Applications

Explores sampling theory, limiting distributions, and estimation for statistical analysis.

Statistical Modeling: Estimation and Hypothesis Testing

Covers statistical modeling, estimation, CLT, confidence intervals, and hypothesis testing steps with practical examples.

Estimators and Confidence Intervals

Explores bias, variance, unbiased estimators, and confidence intervals in statistical estimation.

Quantitative Risk Management: Distributions and Techniques

Covers distributions and techniques in Quantitative Risk Management for financial modeling.

Weibull Model: Random Data

Explores the Weibull model's application to random data and its significance in analyzing material strength and failure probability.

Applications of Machine Learning

Explores applications of machine learning, biased datasets, statistical distributions, and software demos.

A Localization Tale: Practical Course by BIOP

Covers practical aspects of using Fiji for everyday tasks in biological imaging.