Stochastic Simulation: Random Number Generators

Related lectures (32)

Page 1 of 4

Covers uniform and pseudo-random number generators, properties, examples, and quality assessment through empirical tests.

Explores quantum random number generation, discussing the challenges and implementations of generating good randomness using quantum devices.

Explains the Chi-Square test for independence hypothesis and its practical applications.

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Explores maximum likelihood estimation and multivariate hypothesis testing, including challenges and strategies for testing multiple hypotheses.

Explores random number generators on computers, focusing on the Modulo generator and the criteria for pseudo random numbers.

Explores random number generators, from true random numbers to pseudo random algorithms, including the modulo generator and advanced techniques.

Explores the Cramér-Rao bound, hypothesis testing, and optimality in statistical theory.

Explores portable and non-portable random number generation algorithms and the shift-register generator concept.

Covers statistical hypothesis testing, confidence intervals, p-values, and significance levels in hypothesis testing.