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 ...

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 ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

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

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

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 ...

James Fennessey, The General Linear Model: A New Perspective on Some Familiar Topics, American Journal of Sociology, Vol. 74, No. 1 (Jul., 1968), pp. 1-27 ...