Related Experiment Video
Updated: Mar 19, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Single-step simple ROC curve fitting via PCA
1University of Lethbridge.
Abstract:
A simple approach to fitting curves to receiver operating characteristic rating data is presented. It is based on the first principal component of the covariance space of the inverse normal integral of the cumulative rating data of the targets and distractors. It provides for 2 new associated d' estimates, dp' and dYNp'. A Monte Carlo simulation demonstrated that the parameter estimates are unbiased and produce estimates comparable to the iterative, maximum likelihood approach. The corresponding computational and plotting functions in the R programming language are also provided. (PsycINFO Database Record
Related Concept Videos
Receiver Operating Characteristic Plot
Calibration Curves: Linear Least Squares
For data that follow a straight line, the standard method for fitting is the linear...
Calibration Curves: Correlation Coefficient
Region of Convergence of Laplace Tarnsform
Consider a decaying exponential signal that begins at a specific time. When deriving its Laplace transform, the time-domain variable is replaced with a complex variable. This...
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...

