Asymptotic expansions of the distributions of the linear and the quadratic discriminant functions are derived. The expected misclassification probabilities of these two functions are compared when the ...
Tuesday, October 28: Often researchers are faced with data in very high dimensions (e.g. too many predictors for a regression model), or must come up with a rule to classify data in pre-determined ...
This is a preview. Log in through your library . Abstract Abstract.—Discriminant function analysis (DFA) based on morphological measurements is a quick, inexpensive, and efficient method for sex ...
To calculate and validate a linear discriminant function (LDF) for optical coherence tomography (OCT) to improve the diagnostic ability of isolated optic nerve head (ONH) parameters to discriminate ...
Objectives: To evaluate the effectiveness of a discriminant function that predicts risk of pathogenic eating in comparison with a standard self report measure (EAT) and a clinical interview. In ...
Example 25.3: Normal-Theory Discriminant Analysis of Iris Data In this example, PROC DISCRIM uses normal-theory methods to classify the iris data used in Example 25.1. The POOL=TEST option tests the ...
When an output data set includes variables containing the posterior probabilities of group membership (OUT=, OUTCROSS=, or TESTOUT= data sets) or group-specific density estimates (OUTD= or TESTOUTD= ...
The Maddrey score is also called the Maddrey discriminant function, MDF, mDF, DFI or just DF. It’s one of several tools or calculations doctors can use to determine the next step of treatment based on ...
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