Generalized Linear Models and Extensions

By James W. Hardin, Joseph Hilbe. 2001

137 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/59223619b90e8edc8021efa7ef907b672fd7bc94

Citations in the corpus

• Structural equation modeling: strengths, limitations, and misconceptions. (2005, unknown): “…in the 1970s and 1980s, statisticians developed generalized linear models (GLMs), which represent a liberalization of the classical ordinary least-squares linear model to allow for nonlinear functional forms and nonnormal response distributions (e.g., Hardin & Hilbe 2001, Nelder & Wedderburn 1972).”
• Exports and Productivity Growth: First Evidence from a Continuous Treatment Approach (2008, unknown): “In this paper, we apply the generalised propensity score (GPS) methodology recently developed by Imbens (2000) and Hirano and Imbens (2004).”