The technique of discriminant function analysis was originated by R.A. Fisher and first applied by Barnard (1935). Two very useful summaries of the recent work in this technique can be found in Hodges (1950) and in Tosuoka and Tiedeman (1954). The techniques have been used primarily in the fields of anthropology, psychology, biology, medicine, and education, and have only begun to be applied to other fields in recent years. Classification and discriminant function analyses are two phases in the attempt to predict which of several populations an observation might be a member of, on the basis of multivariate measurements. Both procedures require that variables are measured on a series of observations of known population membership. Classifica...
Multivariate Analysis (MVA) is based on the Statistical principle of Multivariate Statistics which i...
Frequently, sociologists encounter research problems which call for assessing the extent to which tw...
The performance of four discriminant analysis procedures for the classification of observations from...
The use of miltivariate statistics in the social and behavioral'sciences is becoming more and m...
The use of discriminant function is justified only when it is known that the individual to be classi...
Discriminant analysis as a multivariate statistical method was reviewed in this paper. Alongside th...
Discusses discriminant function analysis (DFA) as a form of multiple regression that allows for the ...
While discriminant function analysis is an inherently Bayesian method, researchers attempting to est...
While discriminant function analysis is an inherently Bayesian method, researchers attempting to est...
While discriminant function analysis is an inherently Bayesian method, researchers attempting to est...
Discriminant analysis, a classical statistical technique largely used for biological studies of plan...
While discriminant function analysis is an inherently Bayesian method, researchers attempting to est...
sis testing, and confidence statements are FUNCTION FOR TWO GROUPS based typically on exact specific...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
This study provides a comprehensive review of the literature pertaining to the problem of classifica...
Multivariate Analysis (MVA) is based on the Statistical principle of Multivariate Statistics which i...
Frequently, sociologists encounter research problems which call for assessing the extent to which tw...
The performance of four discriminant analysis procedures for the classification of observations from...
The use of miltivariate statistics in the social and behavioral'sciences is becoming more and m...
The use of discriminant function is justified only when it is known that the individual to be classi...
Discriminant analysis as a multivariate statistical method was reviewed in this paper. Alongside th...
Discusses discriminant function analysis (DFA) as a form of multiple regression that allows for the ...
While discriminant function analysis is an inherently Bayesian method, researchers attempting to est...
While discriminant function analysis is an inherently Bayesian method, researchers attempting to est...
While discriminant function analysis is an inherently Bayesian method, researchers attempting to est...
Discriminant analysis, a classical statistical technique largely used for biological studies of plan...
While discriminant function analysis is an inherently Bayesian method, researchers attempting to est...
sis testing, and confidence statements are FUNCTION FOR TWO GROUPS based typically on exact specific...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
This study provides a comprehensive review of the literature pertaining to the problem of classifica...
Multivariate Analysis (MVA) is based on the Statistical principle of Multivariate Statistics which i...
Frequently, sociologists encounter research problems which call for assessing the extent to which tw...
The performance of four discriminant analysis procedures for the classification of observations from...