Sampling distribution

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Related lectures (32)

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Limit Distribution of Componentwise Maxima: Proof of Theorem 28

Explores the limit distribution of componentwise maxima of independent random variables, leading to a non-degenerate distribution with unit Fréchet margins.

Law of Large Numbers: Statistics

Explains the Law of Large Numbers and its application to random variables.

Understanding Statistics & Experimental Design

Provides an overview of basic probability theory, ANOVA, t-tests, central limit theorem, metrics, confidence intervals, and non-parametric tests.

Granulation of Ceramic Suspension by Atomization

Explores the granulation of ceramic suspension through atomization and related processes such as slip casting and density measurements.

Statistical Theory: Fundamentals

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

Monte Carlo Integration: Uncorrelated Sampling

Explores Monte Carlo integration through uncorrelated sampling and its error scaling with the number of points used.

Sampling Complex Exponentials

Covers the sampling of complex exponentials and the challenges of reconstruction in different scenarios.

Reconstruction (sampling theorem) - Examples of Reconstruction

Illustrates the sampling theorem by graphically showing the reconstruction of a pure sinusoid signal.

Acceptance-Rejection Methods: Advanced Techniques

Explores advanced Acceptance-Rejection methods, sampling from normal distribution, and multivariate random variable generation.

Sampling: procedures and constraints

Covers the use of sampling procedures in analyzing continuous geographical phenomena.