Random Number Generators: Properties and Examples

Related lectures (32)

Page 3 of 4

Explains the two-sample t-test for comparing means of independent samples, including hypothesis testing steps and test statistic calculation.

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

Explores goodness-of-fit tests, X² tests, and independence tests in statistics, with practical examples and applications.

Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.

Explores unilateral and bilateral pairs in statistical hypothesis testing, covering critical values, test statistics, and p-values.

Explores functional random generators for various domains and their application in systematic random testing.

Covers the implementation of deterministic random number generation in C++ simulations.

Explores the theory and applications of likelihood ratio tests in statistical hypothesis testing.

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

Covers the optimal statistical tests for exponential families and the use of approximations in hypothesis testing.