Estimation Associated with Linear and Quadratid Discriminant Functions

1985 ◽  
pp. 185-199
Author(s):  
Miroslav Krzyśko
Keyword(s):  
Discriminant Functions

Discriminant functions for sex estimation using the rib necks in a Spanish population

2021 ◽  
Author(s):  
Manuel Partido Navadijo ◽  
Ignacio Fombuena Zapata ◽  
Erik Adrián Borja Miranda ◽  
Inmaculada Alemán Aguilera
Keyword(s):  
Spanish Population ◽  
Sex Estimation ◽  
Discriminant Functions

A class of logistic-type discriminant functions

Biometrika ◽  
2002 ◽  
Vol 89 (1) ◽  
pp. 1-22 ◽  
Author(s):  
S. Eguchi
Keyword(s):  
Discriminant Functions

DECISION MAKING BY VARIABLE CONTRIBUTION IN DISCRIMINANT, LOGIT, AND REGRESSION ANALYSES

2004 ◽  
Vol 03 (02) ◽  
pp. 265-279 ◽  
Author(s):  
STAN LIPOVETSKY ◽  
MICHAEL CONKLIN
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Statistical Models ◽  
Regression Analyses ◽  
Discriminant Functions ◽  
Multivariate Statistical ◽  
Linear Discriminant ◽  
Variable Contribution ◽  
Linear Aggregate

Comparative contribution of predictors in multivariate statistical models is widely used for decision making on the importance of the variables for the aims of analysis and prediction. However, the analysis can be made difficult because of the predictors' multicollinearity that distorts estimates for coefficients in the linear aggregate. To solve the problem of the robust evaluation of the predictors' contribution, we apply the Shapley Value regression analysis that provides consistent results in the presence of multicollinearity both for regression and discriminant functions. We also show how the linear discriminant function can be constructed as a multiple regression, and how the logistic regression can be approximated by linear regression that helps to obtain the variables contribution in the linear aggregate.

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