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Spearman's rank correlation coefficient
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Related lectures (32)
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How to Lie with Statistics
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Explores scientific misconduct, p-value optimization, and spotting issues with conclusions using real-world examples.
Signal Processing Fundamentals
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Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
Four Functions Theorem
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Explores the Four Functions Theorem, covering positive correlation, XY2 inequality, and monotone increasing property.
Variance Reduction Techniques
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Covers variance reduction techniques in stochastic simulation to improve accuracy and efficiency.
Signal Approximation and Orthogonal Bases
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Explores signal approximation, orthogonal bases, Fourier series, correlation, and vector geometry.
Portfolio Management: Risk and Return
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Explores portfolio rate of return, valuation, risk characterization, and historical performance, emphasizing diversification benefits and mean-variance analysis.
PCA: Key Concepts
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Covers the key concepts of Principal Component Analysis (PCA) and its practical applications in data dimensionality reduction and feature extraction.
Rolling Bearings: Materials and Types
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Explores the constitution and materials of rolling bearings, types, and selection criteria based on loads and speeds.
Statistical Independence and Correlation: Understanding Gauss Functions
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Explores statistical independence, correlation, Gauss functions, likelihood estimation, and Gaussian Mixture Models for clustering.
Linear Independence: Covariance and Statistical Dependence
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Explores covariance, statistical dependence, education-fertility relationship, hypothesis testing, and comparison statistics for continuous outcomes.
Properties of Time-Frequency Domain Signals
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Covers the main properties of time-frequency domain signals and their limitations.
Central Limit Theorem: Properties and Applications
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Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.
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