Minimum Distance Probability Discriminant Analysis for Mixed Variables

Biometrics ◽  
2003 ◽  
Vol 59 (2) ◽  
pp. 248-253 ◽  
Author(s):  
Marian Núñez ◽  
Angel Villarroya ◽  
José María Oller
Keyword(s):  
Discriminant Analysis ◽  
Minimum Distance ◽  
Mixed Variables

scholarly journals MODEL PENILAIAN KREDIT MENGGUNAKAN ANALISIS DISKRIMINAN DENGAN VARIABEL BEBAS CAMPURAN BINER DAN KONTINU

2017 ◽  
Vol 9 (2) ◽  
pp. 107
Author(s):  
Moch. Abdul Mukid ◽  
Tatik Widiharih
Keyword(s):  
Discriminant Analysis ◽  
Credit Risk ◽  
Credit Scoring ◽  
Predictor Variables ◽  
Continuous Variables ◽  
Net Income ◽  
Mixed Variables ◽  
Discriminant Model ◽  
Testing Data ◽  
Credit Granting

Credit scoring models is an important tools in the credit granting process. These models measure the credit risk of a prospective client. This study aims to applied a discriminant model with mixed predictor variables (binary and continuous) for credit assesment. Implementation of the model use debitur characteristics data from a bank in Lampung Province which the used binary variables involve sex and marital status. Whereas, the continuous variables that was considered appropriate in the model are age, net income, and length of work. By using the data training, it was known that the misclassification of the model is 0.1970 and the misclassification of the testing data reach to 0.3753. Keywords: discriminant analysis, mixed variables, credit scoring

SYMBOLIC FACTORIAL DISCRIMINANT ANALYSIS FOR ILLUMINATION INVARIANT FACE RECOGNITION

2008 ◽  
Vol 22 (03) ◽  
pp. 371-387 ◽  
Author(s):  
P. S. HIREMATH ◽  
C. J. PRABHAKAR
Keyword(s):  
Face Recognition ◽  
Discriminant Analysis ◽  
Minimum Distance ◽  
Face Representation ◽  
Lighting Conditions ◽  
Illumination Changes ◽  
Effective Performance ◽  
Interval Type ◽  
Human Faces ◽  
Factorial Discriminant Analysis

In this paper, a new appearance-based technique called symbolic factorial discriminant analysis (symbolic FDA) is explored for face representation and recognition under varying illumination conditions. In the past few years, many appearance-based methods have been proposed to model image variations of human faces under different lighting conditions using single valued variables to represent the facial features. In the proposed symbolic factorial discriminant analysis method, we extract interval type discriminating features, which are robust to illumination changes. The minimum distance classifier with symbolic dissimilarity measure is used for classification. The proposed method has been successfully tested for face recognition using three databases, namely, Yale Face database B, CMU PIE database and Harvard database. The experimental results have demonstrated the effective performance of this method.

An Introduction to Discriminant Analysis

1989 ◽  
Vol 22 (3) ◽  
pp. 158-168 ◽  
Author(s):  
Carl J Huberty ◽  
Richard M. Barton
Keyword(s):  
Discriminant Analysis

Brief Report. The PCL-R and Gender

2000 ◽  
Vol 16 (3) ◽  
pp. 147-149 ◽  
Author(s):  
Martin Grann
Keyword(s):  
Gender Differences ◽  
Sexual Behavior ◽  
Discriminant Analysis ◽  
Juvenile Delinquency ◽  
Violent Offenders ◽  
Matched Pairs ◽  
Psychopathy Checklist ◽  
Psychopathy Checklist Revised ◽  
And Gender

Summary: Hare's Psychopathy Checklist - Revised (PCL-R; Hare, 1991 ) was originally constructed for use among males in correctional and forensic settings. In this study, the PCL-R protocols of 36 matched pairs of female and male violent offenders were examined with respect to gender differences. The results indicated a few significant differences. By means of discriminant analysis, male Ss were distinguished from their female counterparts through their relatively higher scores on “callous/lack of empathy” (item 8) and “juvenile delinquency” (item 18), whereas the female Ss scored relatively higher on “promiscuous sexual behavior” (item 11). Some sources of bias and possible implications are discussed.

The Assessment of Fear of Flying: Elaboration and Validation of a Videotape as an Analogous Situation of a Flight1

1997 ◽  
Vol 13 (2) ◽  
pp. 118-130 ◽  
Author(s):  
Juan I. Capafóns ◽  
Carmen D. Sosa ◽  
Manuel Herrero ◽  
Conrado Viña
Keyword(s):  
Heart Rate ◽  
Discriminant Analysis ◽  
Post Treatment ◽  
Subjective Measure ◽  
Physiological Measures ◽  
Personal Safety ◽  
Metal Detector ◽  
Fear Of Flying ◽  
Situational Anxiety ◽  
Treatment Measures

The results are presented for the validation of a videotape as an analogous situation for a flight. The video includes the most significant elements of a flight by air: confirmation of the flight, packing, going to the airport, checking-in, going through the metal-detector, departure lounge, boarding the plane, demonstration of the personal safety drills, interiors and exteriors during the flight and landing. Two physiological measures are used for validation (heart rate and temperature) and a subjective measure (situational anxiety, SA). The results (both t-tests and the discriminant analysis) indicate that the videotape is able to discriminate between phobics and non-phobics of flying in the three variables considered. With respect to sensitivity in detecting change produced by various treatments in clients with phobia of flying, the results are also satisfactory. A greater differentiation is produced between the pre-post treatment measures, both in subjective and in the physiological measures.

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