Robust Statistics: Break Points and Correlation Analysis

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Page 3 of 4

Delves into complex systems, strange attractors, and epidemics, emphasizing the influence of psychological factors and the role of contagion.

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

Explores copulas in multivariate statistics, covering properties, fallacies, and applications in modeling dependence structures.

Covers the systematic derivation of a synchronization algorithm with a generalized likelihood test in wireless receivers.

Covers the basics of data analysis, focusing on statistical concepts and correlation measures.

Introduces descriptive statistics, hypothesis testing, p-values, and confidence intervals, emphasizing their importance in data analysis.

Covers Parseval relations, Fourier series, energy calculation, and correlation in signal processing.

Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.

Explores the curse of dimensionality, variable selection methods, coefficient of determination, and limitations of filtering techniques.

Covers common data problems and important distributions, along with correlation and dependencies analysis.