Parameter Estimation

Related lectures (28)

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Explores statistical parameter estimation, sample accuracy, and Bernoulli variables' properties.

Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.

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

Covers the characteristics and importance of the normal distribution, including examples and treatment scenarios.

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.

Covers the fundamental concepts of statistics and their application in data science.

Explains Fisher information, Cramér-Rao inequality, and MLE properties, including invariance and asymptotics.

Explores air pollution analysis using wind data, probability distributions, and trajectory models for air quality assessment.

Explores sampling distributions, estimators' properties, and statistical measures for data science applications.

Discusses probability distributions and the Central Limit Theorem, emphasizing their importance in data science and statistical analysis.