Queueing Theory: M/G/Infinity Queue

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Page 3 of 3

Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.

Probability and Statistics: Fundamentals

Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.

Queueing Theory: Definitions, M/M/s/K

Covers the definitions and properties of queueing systems, focusing on the M/M/s/K model.

Probability and Statistics

Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.

Probability and Statistics

Covers fundamental concepts in probability and statistics, including the law of total probability, Bayes' theorem, and independence of events.

Stochastic Models: Absorbing Markov Chains Examples

Covers examples of absorbing Markov chains in discrete time.

Introduction to Inference

Covers the basics of probability theory, random variables, joint probability, and inference.

Normal Distribution: Properties and Calculations

Covers properties and calculations related to the normal distribution, including probabilities and quantiles.

Probability: Complement and Union of Events

Explores the probability of complementary events and unions, with examples on dice rolls and number selection.