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Generalized linear modelling for parasitologists
Parasitology Today, 1997Typically, the distribution of macroparasites over their host population is highly aggregated and empirically best described by the negative binomial distribution. For parasitologists, this poses a statistical provlem, which is often tackled by log-transforming the parasite data prior to analysis by parametric tests. Here, Ken Wilson and Bryan Grenfell
Wilson, Kenneth, Grenfell, Bryan T.
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American Journal of Orthodontics and Dentofacial Orthopedics, 2023
Tomasz Burzykowski +3 more
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Tomasz Burzykowski +3 more
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Introducing the generalized linear model: general linear model
2019This chapter reviews the generalized linear model (GLZM), which is an extremely useful and increasingly popular framework approach to analysing data. Since it relies on making assumptions about the distribution of data, it is parametric. In particular, the chapter looks at the general linear model (GLM), a sub-framework of the generalized linear model ...
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A nonparametric general linear model
Computers and Biomedical Research, 1972Abstract A matrix formulation of the Kruskal-Wallis analysis of variance is presented. This formulation illustrates the parallel nature of the parametric general linear model and the Kruskal-Wallis model. Using the matrix formulation, it is shown that the Kruskal-Wallis method can be implemented on a digital computer as a special case of a general ...
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An Introduction to Generalized Linear Models
Technometrics, 2002(2002). An Introduction to Generalized Linear Models. Technometrics: Vol. 44, No. 4, pp. 406-407.
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A linear generalization of Stackelberg’s model
Theory and Decision, 2008We study an extension of Stackelberg's model in which many firms can produce at many different times. Demand is affine while cost is linear. In this setting, we investigate whether Stackelberg's results in a two-firm game are robust when the number of firms increases.
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Linear and Generalized Linear Mixed Models and Their Applications
Technometrics, 2008(2008). Linear and Generalized Linear Mixed Models and Their Applications. Technometrics: Vol. 50, No. 1, pp. 93-94.
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The American Statistician, 1994 Generalized Model for Linear Referencing in Transportation
GeoInformatica, 2002Summary: The Generalized Model for Linear Referencing is proposed as a theoretical basis for representing and translating linear locations. It separates the concepts of the linear element which is being measured and the linear method of measurement. It formalizes the concept of a distance expression as the measurement which is made.
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1981
In Chapter 3 and 4 the method of maximum likelihood was introduced as a general method by which a model could be fitted to data. In Chapter 5 we specialized by restricting ourselves to normally distributed random variables, and to cases where the model is linear in the unknown parameters.
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In Chapter 3 and 4 the method of maximum likelihood was introduced as a general method by which a model could be fitted to data. In Chapter 5 we specialized by restricting ourselves to normally distributed random variables, and to cases where the model is linear in the unknown parameters.
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