Survival Analysis: Cox Proportional Hazards Model

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Page 3 of 4

Covers the essentials of ANOVA, explaining its concept, calculations, assumptions, and interpretation of results.

Covers spectral estimation in time series analysis, including imaging kernels, tapering methods, and AR models.

Covers Multi-Tapering and Parametric Estimation in Time Series analysis, including spectral estimation and AR model fitting.

Delves into statistical estimation, highlighting the Gaussian linear model and the limitations of ML estimators.

Explores parametric models in data analysis, covering regression estimators, optimization problems, and statistical models.

Covers nonparametric statistics, kernel density estimation, Bayesian principles, and posterior distribution summarization.

Delves into optimal estimation, bias role in finite samples, and the delicate tradeoff between bias and variance in statistical estimation.

Explores linear estimation and prediction in AR parametric models, focusing on Yule Walker equations and Wiener filter.

Covers maximum likelihood theory, applications, and hypothesis testing principles in econometrics.

Explores the Method of Moments, Bias-Variance tradeoff, Consistency, Plug-In Principle, and Likelihood Principle in point estimation.