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Lecture
Modern Regression: Spring Barley Data
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Related lectures (37)
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Modern Regression: Spring Barley Data
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Covers inference, weighted least squares, spring barley data analysis, and smoothing techniques.
Modern Regression: Overdispersion and Model Assessment
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Explores overdispersion, model assessment, and regression techniques for count data.
Linear Regression Basics
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Regression: Simple and Multiple Linear
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Covers simple and multiple linear regression, including least squares estimation and model diagnostics.
Linear Regression Basics
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Covers the basics of linear regression, instrumental variables, heteroskedasticity, autocorrelation, and Maximum Likelihood Estimation.
Modern Regression: Inference and Models
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Covers iterative weighted least squares, model checking, and generalized linear models in regression analysis.
Inference: Model Checking
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Linear Regression: Basics and Estimation
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Generalized Linear Models: Exponential Families and Model Construction
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