The Science of Data
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    • Overview
      • Introduction
      • Concepts from Probability
      • Statistical Modeling
    • Foundation of Inference
      • Parametric Estimation
      • Confidence Intervals
      • The Delta Method
      • Introduction to Hypothesis Testing
      • Levels and p-Values
    • Methods of Estimation
      • Total Variation Distance
      • Kullback-Leibler Divergence
      • Maximum Likelihood Principle
      • Maximum Likelihood Estimation
      • Covariance Matrices
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      • M-Estimation
    • Hypothesis Testing
      • Chi-squared Distribution and t-Test
      • Wald's Test
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      • Goodness of Fit Test
      • Kolmogorov-Smirnov Test
      • Kolmogorov-Lilliefors Test
      • QQ-Plot
    • Linear Regression
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      • Statistical Inference
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    • Causality
      • Definition
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      • Omitted Variable Bias
      • Endogeneity and Instrumental Variables
    • Generalized Linear Model
      • Exponential Families
      • The Canonical Link Function
      • Logistic Regression
    • Bayesian Statistics

    The Delta Method