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Introduction and Notations
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Related lectures (30)
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Elements of Statistics: Probability and Random Variables
Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.
Probabilistic Functions: Free Fields and Random Variables
Covers free fields and probabilistic functions, focusing on random variables and their properties.
Probability and Statistics: Independence and Conditional Probability
Explores independence and conditional probability in probability and statistics, with examples illustrating the concepts and practical applications.
Probability and Statistics
Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
Probability and Statistics
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Hydrologic Design: Probability & Statistics
Explores the application of probability and statistics in hydrologic design, covering topics such as return period, risk assessment, and empirical data analysis.
Introduction to Inference
Covers the basics of probability theory, random variables, joint probability, and inference.
Statistical Theory: Fundamentals
Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.
Elements of Statistics
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
Probability Convergence
Explores probability convergence, discussing conditions for random variable sequences to converge and the uniqueness of convergence.
