












Deleted Residual
Process of calculating residuals in which the influence of each
observation is removed when calculating its residual. This is
accomplished by omitting the ith observation from regression
equation used to calculating it predicted value. 








Deviance
A measure of fit of a statistical model. The deviance is twice
(loglikelihood of the best model minus loglikelihood of the
current model). The best model can be the true model or an exact
fit (often called a saturated model). 








DFBETA
Measure of the change in a regression coefficient when an observation
is omitted from the regression analysis. The value DFBETA is
in terms of the coefficient itself; a standardized form(SDEBETA)
is also available. No threshold limit can be established for
DFBETA. Although the researcher can look for values substantially
different from the remaining observations to assess potential
influence. The SDDFBETA values are scaled by their standard
errors. Thus supporting the rational for cutoffs of 1 or 2,
corresponding to confidence levels of 0.10 or 0.05, respectively.









Diagnostic Paradigm
In the terminology of Dawid (1976), modelling the conditional
distribution of the class C given the features X. 








Dirichlet Distribution
A distribution over probability distributions () on K classes.
Its density (Berger, 1985, p.561) is, for and which has mean
at (), and is increasingly concentrated as () increases. 








Dirichlet Tessellation
Given a set of points in associate with each those points of
to which it is nearest. This defines a tile, and the tiles partition
the space, Also known as Voronoi or Thiessen polygons in Preparata
& Shamos (1985) give algorithmic details. 








Dissimilarity
A measure of the dissimilarity of two examples based on their
features. Must be nonnegative and symmetric. 





