Generalized Linear Models: With Applications in Engineering and the Sciences
By Raymond H. Myers. 2001
566 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/783331371237b407d2bd86418f56a89ffd677d13
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Citations in the corpus
- Phase I monitoring of generalized linear model-based regression profiles (2015, methodology): “So, the IRLS algorithm for estimating the coefficients is presented as follows [37]:”
- A review of statistical methods for the evaluation of aquatic habitat suitability for instream flow assessment (2006, methodology): “However, in some cases, it may be impossible for the same transformation to create normally distributed errors, to stabilize the variance, and to lead to a linear model (Myers et al., 2002).”
- Log-Normal Versus Gamma Models for Analyzing Data from Quality-Improvement Experiments (2008, methodology): “However, Myers et al. (2002), found that there is still some indication of inequality of variance.”
- Model-based process monitoring using robust generalized linear models (2005, methodology): “Model-fitting methods and diagnostics for the GLM are discussed by McCullagh and Nelder (1989), Myers (1990) and Myers et al. (2001).”
- Evaluating Pair Programming with Respect to System Complexity and Programmer Expertise (2007, methodology): “The time data was modeled by specifying a Gamma distribution and the log link function.”