sis testing, and confidence statements are FUNCTION FOR TWO GROUPS based typically on exact specification of the re-sponse variates. In the applied sciences The technique of discriminant analysis is another kind of multivariate problem is com- based on the assumption that a linear function mon in which an observation must be assigned Y = BIX + B 2X 2 +... + BnX n exists which in some optimal fashion to one of several popu- will distinguish between the elements of a pop-lations. Classification rules based on an index ulation. The discriminant model utilizes coeffi-called the linear discriminant function provide cients B,, B 2,..., B chosen in such a way that a method for such assignment. the ratio of between-group sum of squares is Use of th...
Discriminant analysis is a multivariate statistical technique used primarily for obtaining a linear ...
This paper was published in the Proceedings of the Twenty-Sixth Annual Meeting of the Midwest Decisi...
Multivariate Analysis (MVA) is based on the Statistical principle of Multivariate Statistics which i...
The technique of discriminant function analysis was originated by R.A. Fisher and first applied by B...
The use of miltivariate statistics in the social and behavioral'sciences is becoming more and m...
Discriminant analysis as a multivariate statistical method was reviewed in this paper. Alongside th...
Analyzing large data sets is often time-consuming as many data sets depend on many variables, and mu...
Discriminant analysis, a classical statistical technique largely used for biological studies of plan...
The use of discriminant function is justified only when it is known that the individual to be classi...
The problem of testing the direction and collinearity aspects of goodness of fit of a hypothetical d...
Includes bibliography.The purpose of the procedures described is to assign “objects” or "observation...
The null hypothesis of a one-sample test of multivariate means states that the population centroid i...
This study provides a comprehensive review of the literature pertaining to the problem of classifica...
Frequently, sociologists encounter research problems which call for assessing the extent to which tw...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
Discriminant analysis is a multivariate statistical technique used primarily for obtaining a linear ...
This paper was published in the Proceedings of the Twenty-Sixth Annual Meeting of the Midwest Decisi...
Multivariate Analysis (MVA) is based on the Statistical principle of Multivariate Statistics which i...
The technique of discriminant function analysis was originated by R.A. Fisher and first applied by B...
The use of miltivariate statistics in the social and behavioral'sciences is becoming more and m...
Discriminant analysis as a multivariate statistical method was reviewed in this paper. Alongside th...
Analyzing large data sets is often time-consuming as many data sets depend on many variables, and mu...
Discriminant analysis, a classical statistical technique largely used for biological studies of plan...
The use of discriminant function is justified only when it is known that the individual to be classi...
The problem of testing the direction and collinearity aspects of goodness of fit of a hypothetical d...
Includes bibliography.The purpose of the procedures described is to assign “objects” or "observation...
The null hypothesis of a one-sample test of multivariate means states that the population centroid i...
This study provides a comprehensive review of the literature pertaining to the problem of classifica...
Frequently, sociologists encounter research problems which call for assessing the extent to which tw...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
Discriminant analysis is a multivariate statistical technique used primarily for obtaining a linear ...
This paper was published in the Proceedings of the Twenty-Sixth Annual Meeting of the Midwest Decisi...
Multivariate Analysis (MVA) is based on the Statistical principle of Multivariate Statistics which i...