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Delves into advanced probability theory, covering inequalities, trials, distributions, and calculations for probabilities and expectations.
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Explores modes of convergence in probability and statistics, illustrating concepts with examples and discussing the continuity theorem.
Explores stochastic models for communications, covering mean, variance, characteristic functions, inequalities, various discrete and continuous random variables, and properties of different distributions.
Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.
Delves into maximum likelihood estimators, their properties, and asymptotic behavior, emphasizing consistency and asymptotic normality.
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Introduces the basics of risk analysis and management in civil engineering, covering distributions, statistical reminders, and mathematical interpretation techniques.
Covers continuous random variables, probability density functions, and distributions, with practical examples.
