S2E17: Embracing Your Non-Normality
Quantitude
Embracing Non-Normality in Statistical Modeling
Exploring the concept of embracing non-normality in statistical modeling, including discussions on flexibility with distributions, Bayesian approaches, and building models not reliant on normality for categorical or ordinal outcomes. Introduces two-stage least squares as a limited information estimator with distinct advantages over maximum likelihood estimation.
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