Lectures related to Deviation (statistics)

Stochastic Processes: Review and Properties

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

Covers the analysis of GPS data, including true value comparison and deviation analysis.

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.

Statistical Measures: Mean, Median, and Dispersion Techniques

Discusses statistical measures of central tendency and dispersion, focusing on mean, median, and their implications in data analysis.

Linearization Method: Examples

Covers the linearization method through two examples in process control.

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.

Continuous Culture: Chemostat

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

Probability Theory: Random Variables and Distributions

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

Darcy's Law and Hydraulic Conductivity

Discusses Darcy's law, tortuosity factor, deviations, and conductivity measurement methods.

Statistics and visualisation of morphometric data

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

Numpy: Broadcasting, Operations, Comparisons, and Constants

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

Statistical Analysis: Dispersion and Normal Values

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

Plasma Physics: Debye Length

Explores the rigorous definition of plasma, emphasizing the Debye length and its implications.

Quantum Mechanics: Schrödinger Equation

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

Central Tendency and Dispersion

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

Measures of dispersion: Mean Square Error

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