Access the full text.
Sign up today, get DeepDyve free for 14 days.
Charles Dannehl, A. Groth (1992)
Communist and non-communist Europe: Functional differentiation, 1970–1985Social Indicators Research, 27
M. H. Doolittle (1888)
Association ratiosBulletin of the Philosophical Society of Washington, 10
(1994)
Understanding and Preventing Violence, Vol. 3: Social Influences
L. Goodman, W. Kruskal (1959)
Measures of Association for Cross Classifications. II: Further Discussion and ReferencesJournal of the American Statistical Association, 54
V. Morwitz, D. Schmittlein (1992)
Using Segmentation to Improve Sales Forecasts Based on Purchase Intent: Which “Intenders” Actually Buy?:Journal of Marketing Research, 29
A. H. Murphy, H. Daan (1985)
Probability, Statistics and Decision Making in the Atmospheric Sciences
L. Bellantoni, J. Conway, J. Jacobsen, Y. Pan, S. Wu (1991)
Using neural networks with jet shapes to identify b jets in e+e− interactionsNuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment, 310
L. Christensen, K. Duncan (1995)
Distinguishing depressed from nondepressed individuals using energy and psychosocial variables.Journal of consulting and clinical psychology, 63 3
E. Dammers (1993)
Measurement in the ex post evaluation of forecastsQuality and Quantity, 27
C. Huberty (1994)
Applied Discriminant Analysis
Cynthia Parshall, J. Kromrey (1996)
Tests of Independence in Contingency Tables with Small Samples: A Comparison of Statistical PowerEducational and Psychological Measurement, 56
A. Reiss,, J. Roth, K. Miczek (1992)
Understanding and Preventing Violence
C. S. Peirce (1884)
The numerical measure of the success of predictions [Letter to the editor]Science, 4
O. Anson, S. Sagy (1995)
Marital Violence: Comparing Women in Violent and Nonviolent UnionsHuman Relations, 48
(1980)
High School and Beyond Information for Users: Base Year (1980) Data
R. Wilson, B. Hardgrave (1995)
Predicting Graduate Student Success in an MBA Program: Regression Versus ClassificationEducational and Psychological Measurement, 55
M. Haber (1990)
Comments on "The test of homogeneity for 2 × 2 contingency tables: A review of and some personal opinions on the controversy" by G. Camilli.Psychological Bulletin, 108
W. Hays (1973)
Statistics for the social sciences
G. McLachlan (1992)
Discriminant Analysis and Statistical Pattern Recognition
P. A. Lachenbruch (1975)
Discriminant Analysis
H. Stephenson, R. Larson, W. Mendenhall, L. Ott (1975)
Statistics: A Tool for the Social Sciences.Journal of the American Statistical Association, 70
S. Hammond, G. Lienert (1995)
Modified Phi Correlation Coefficients for the Multivariate Analysis of Ordinally Scaled VariablesEducational and Psychological Measurement, 55
R. Famularo, T. Fenton, R. Kinscherff, R. Barnum, S. Bolduc, D. Bunschaft (1992)
Differences in neuropsychological and academic achievement between adolescent delinquents and status offenders.The American journal of psychiatry, 149 9
S. Fienberg (1980)
The analysis of cross-classified categorical data
Nina Azari, P. Pietrini, B. Horwitz, K. Pettigrew, H. Leonard, J. Rapoport, M. Schapiro, S. Swedo (1993)
Individual differences in cerebral metabolic patterns during pharmacotherapy in obsessive-compulsive disorder: A multiple regression/discriminant analysis of positron emission tomographic dataBiological Psychiatry, 34
L. Goodman, W. Kruskal (1979)
Measures of association for cross classifications
Bowser-Chao, Dzialo (1992)
Comparison of the use of binary decision trees and neural networks in top-quark detection.Physical review. D, Particles and fields, 47 5
G. Stimpfl-Abele (1991)
Recognition of decays of charged tracks with neural network techniquesComputer Physics Communications, 67
N. Glick (1978)
Additive estimators for probabilities of correct classificationPattern Recognit., 10
(1989)
User's Guide, Version 6
P. Anderer, B. Saletu, B. Klöppel, H. Semlitsch, H. Werner (1994)
Discrimination between demented patients and normals based on topographic EEG slow wave activity: comparison between z statistics, discriminant analysis and artificial neural network classifiers.Electroencephalography and clinical neurophysiology, 91 2
L. Bellantoni, J. S. Conway, J. E. Jacobsen, Y. B. Pan, S. L. Wu (1991)
Using neural networks with jet shapes to identify b jets in e + e − interactionsNuclear Instruments and Methods, A-310
Haejung Paik, G. Comstock (1994)
The Effects of Television Violence on Antisocial Behavior: A Meta-Analysis1Communication Research, 21
C. Marzban (1998)
Scalar measures of performance in rare-event situationsWeather and Forecasting, 13
S. Boone (1991)
Aggression in African-American boys: a discriminant analysis.Genetic, social, and general psychology monographs, 117 2
A. Cherry (1993)
Combining Cluster and Discriminant Analysis to Develop a Social Bond Topology of Runaway YouthResearch on Social Work Practice, 3
L. Bernard, M. McGrath, W. Houston (1993)
Discriminating between simulated malingering and closed head injury on the Wechsler Memory Scale-Revised.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists, 8 6
Gregory Camilli (1990)
The test of homogeneity for 2 × 2 contingency tables: A review of and some personal opinions on the controversy.Psychological Bulletin, 108
Haejung Paik, C. Marzban (1995)
Predicting Television Extreme Viewers and Non-viewers A Neural Network AnalysisHuman Communication Research, 22
C. Peirce (1884)
The numerical measure of the success of predictions.Science, 4 93
Although the weights in a discriminant function (both linear and quadratic) are independent of group prior probabilities, the performance of the classifier (on the training and validation data) is sensitively dependent on these often unknown probabilities. After reviewing some defects of a popular measure of performance in the situation where the group sizes are naturally disproportionate, three alternative measures of performance (or association) are considered and it is shown that the behavior of the measures as a function of group prior probability is different between measures. Consequently, the optimum choice of the group prior probability depends on the specific measure of performance. Among the measures considered, only two measures - the index of mean square contingency and the Heidke Skill Statistic - are found to be well defined in the disparate-group size situation, and are, therefore, recommended. An empirical data set, dealing with delinquency among high school students is employed to illustrate all of the findings.
Quality & Quantity – Springer Journals
Published: Oct 6, 2004
Access the full text.
Sign up today, get DeepDyve free for 14 days.