Lectures related to Average absolute deviation

Stochastic Processes: Review and Properties

Covers the review of random variables, probability density functions, variance, and Gaussian processes.

Explores the change of variables theorem and examples of polar coordinates.

Quantum Mechanics: Principles and Operators

Covers wave functions, electron density, probability distributions, and quantum operators.

Covers random variables, sample spaces, probability distributions, functions, expected value, variance, and estimations.

Thematic Attributes and Classification

Covers statistical thematic mapping, types of maps, discretization methods, and proportional symbols in maps.

Quantitative Analysis: Statistical Methods

Explains statistical methods in quantitative analysis, emphasizing precision, accuracy, and sample representation.

Variance and Covariance: Properties and Examples

Explores variance, covariance, and practical applications in statistics and probability.

Storage Capacity: Prototypes and Neuronal Dynamics

Explores the storage capacity of associative memory in networks of neurons and the impact of multiple prototypes on error rates.

Random Variables: Deterministic vs. Random

Explores random variables, their variability, realization of random processes, and the scientific method in material science.

Statistical Analysis: Dispersion and Normal Values

Explores statistical dispersion and its impact on determining normal values and data analysis.

Numpy: Broadcasting, Operations, Comparisons, and Constants

Covers broadcasting, operations, comparisons, and numpy constants like pi, e, and infinity.

Probability Theory: Random Variables and Distributions

Introduces probability theory, random variables, and distributions, with a focus on their applications in atomic diffusion.

Statistics and visualisation of morphometric data

Covers statistical analysis and visualization of morphometric data, including discrimination between tree types and numpy calculations.

Central Tendency and Dispersion

Explores replicates, visualization methods, central tendency measures, outliers, dispersion, averages, residuals, and unbiased estimators.

Linearization Method: Examples

Covers the linearization method through two examples in process control.

Quantum Mechanics: Schrödinger Equation

Explores the Schrödinger equation in quantum mechanics, numerical methods, and properties of observables.

Measures of dispersion: Mean Square Error

Explains data dispersion, central tendency, variance, standard deviation, and Mean Square Error.

Continuous Culture: Chemostat

Explores continuous culture using a chemostat, covering design, operation, advantages, productivity, applications, and comparisons with batch cultures.

Propagation of Uncertainty: Model Measurements

Covers the propagation of uncertainty in model measurements and the importance of understanding errors.

Model Selection in Statistics

Explores model selection in statistics, discussing principles, probabilistic models, characteristics evaluation, and data visualization methods.