Login to filter by course Login to filter by course Reset
Delves into advanced probability theory, covering inequalities, trials, distributions, and calculations for probabilities and expectations.
Delves into maximum likelihood estimators, their properties, and asymptotic behavior, emphasizing consistency and asymptotic normality.
Explores modes of convergence in probability and statistics, illustrating concepts with examples and discussing the continuity theorem.
Covers continuous random variables, probability density functions, and distributions, with practical examples.
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
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.
Covers advanced topics in probability theory, focusing on geometric distribution and variance calculations.
Covers rotation matrices, translations, and direct geometric modeling of serial robots, including the Denavit-Hartenberg parameters and the sequence of movements for a 6 DOF robot.
