In statistics, a generalized linear model is a model relating the expected value E(y) of a dependent variable y to one or more independent variables x1, ..., xn, with the relation stated as follows.
where g is an invertible function, called the link function. Each specific choice of the link function and the distribution for the dependent variable yields a different generalized linear model.
Generalized linear models include, as special cases, ordinary linear regression, logistic regression, Poisson regression, and several other interesting models.
References
P. McCullagh and J.A. Nelder. Generalized Linear Models. London: Chapman and Hall, 1989.
External links
Module 9: Generalized Linear Models (http://genetics.agrsci.dk/biometry/courses/statmaster/course/module09)
The link() function shall atomically create a new link for the existing file and the link count of the file shall be incremented by one.
A component of either path prefix denies search permission, or the requested link requires writing in a directory that denies write permission, or the calling process does not have permission to access the existing file and this is required by the implementation.
Linking to a directory is restricted to the superuser in most historical implementations because this capability may produce loops in the file hierarchy or otherwise corrupt the file system.
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