Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

Generalized linear models (GLMs), as defined by J. A. Nelder and R. W. M. Wedderburn (1972), unify a class of regression models for categorical, discrete, and continuous response variables. As an ...

Multiple regression and regression diagnostics. Generalised linear models; the exponential family, the linear predictor, link functions, analysis of deviance, parameter estimation, deviance residuals.

14 Introduction to regression models Concepts The slope and intercepts we compute in a regression model are statistics calculated from the sample data. They are point estimates of corresponding ...

Generalised linear models; the exponential family, the linear predictor, link functions, analysis of deviance, parameter estimation, deviance residuals. Model choice, fitting and validation.

Elizabeth Walls, Continuum Wind Flow Model, Wind Engineering, Vol. 39, No. 3 (2015), pp. 271-298 ...

Catalog : MATH.2210 Introduction to Linear Algebra (Formerly 92.221) MATH.2210 — Undergraduate Id: 008281 Offering: 1 Credits: 3-3 Description Elementary set theory and solution sets of systems of ...

Introduces ordinary differential equations, systems of linear equations, matrices, determinants, vector spaces, linear transformations, and systems of linear differential equations. Prereq., APPM 1360 ...