Related Experiment Video
Updated: Jul 23, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
Published on: June 26, 2013
A PC program for unbiased and predictive linear and quadratic discriminant analysis
U Grouven1, F Bergel, B Schultz
1Hannover Medical School, Anaesthesie IV im Krankenhaus Oststadt, Arbeitsgruppe Informatik/Biometrie, Germany.
Abstract:
Discriminant analysis plays an important role in biological and medical research. The most popular methods of discrimination in practical applications are parametric methods like linear and quadratic discriminant analysis. However, there exist modifications of these approaches, namely unbiased and predictive discriminant analysis, which lead to reduced error rates in certain situations. In this paper a menu-driven, user-friendly PC program written in Borland Pascal 7.0 is introduced which performs unbiased and predictive linear and quadratic discriminant analysis.
Related Concept Videos
Residuals and Least-Squares Property
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
Calibration Curves: Linear Least Squares
For data that follow a straight line, the standard method for fitting is the linear...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Receiver Operating Characteristic Plot
Statistical Software for Data Analysis and Clinical Trials
Quadratic Models

