Statistical dispersion

Related lectures (31)

Page 3 of 4

Explores point estimation in statistics, discussing bias, variance, mean squared error, and consistency of estimators.

Covers the basics of exploratory statistics, including variables, quantiles, central tendency, dispersion, outliers, and robustness.

Explores conditional probabilities, characteristic functions, and optimal detectors in signals and systems.

Explores sampling distributions, estimators' properties, and statistical measures for data science applications.

Covers basic probability theory, ANOVA, experimental design, and statistical reporting errors.

Covers the calculation of internal energy and specific heat for gases, electrons, phonons, and photons.

Explores the microcanonical ensemble applied to a perfect gas and the statistical mean of physical quantities.

Explores the convergence of averages of random variables and empirical frequencies in probability theory.

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

Explores Statistical Signal & Data Processing fundamentals, tools, and applications in various fields.