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Optical Image Sensors: Introduction and Architecture
Explores the history, architecture, and specifications of optical image sensors, including noise suppression techniques and measurement methods.
Hypothesis Testing: Wilks' Theorem
Explores hypothesis testing using Wilks' Theorem, likelihood ratio statistics, p-values, interval estimation, and confidence regions.
Hypothesis Testing: Wilks' Theorem and P-Value
Explores hypothesis testing, Wilks' theorem, p-values, confidence intervals, and pivotal quantities.
Copulas and Margins: Extremal Dependence in Statistics
Delves into copulas, margins, and extremal dependence in statistics, covering topics like logistic copulas and Kendall's tau.
Canonical Correlation Analysis
Covers the mathematical development of canonical correlation analysis, including population and sample CCA.