Central Limit theorem - Derived & Explained Intuitively (CS1)
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Maximum Likelihood Estimation - Derived & Explained Intuitively
Description:
Explore a comprehensive 9-hour lecture series on Actuarial Statistics 1, covering essential topics from random variables to maximum likelihood estimation. Begin with prerequisite lectures on random variables, probabilities, and statistics before delving into uniform, binomial, geometric, negative binomial, Poisson, and hypergeometric distributions. Progress through continuous uniform, exponential, gamma, chi-square, beta, normal, log-normal, F, and t distributions. Learn about Monte Carlo simulation, data analysis techniques, and the Central Limit Theorem. Master practical skills with calculator tutorials for Casio 82 ES+ and discover how to simulate values in R. Gain a deep understanding of probability basics, statistical concepts, and intuitive explanations of complex theories, preparing you for success in actuarial examinations and real-world applications.