Journal ArticleDOI
Computations for Variable Selection in Discriminant Analysis
TLDR
In this paper, an algorithm for computing statistics for all possible subsets of variables for a discriminant analysis is proposed and a comparison with a stepwise procedure is also presented through two examples.Abstract:
An algorithm is proposed for computing statistics for all possible subsets of variables for a discriminant analysis. Optimal subsets of any given size can then be determined. A comparison with a stepwise procedure is also presented through two examples.read more
Citations
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Journal ArticleDOI
A Biometrics Invited Paper. The Analysis and Selection of Variables in Linear Regression
MonographDOI
Applied MANOVA and discriminant analysis
Carl J. Huberty,Stephen Olejnik +1 more
TL;DR: A review of the main findings of the first edition of Manova/DDA: A Discriminant Analysis in Research, which concluded that the results of this study confirmed that the design of the MANOVA was based on a mixture of objective and subjective criteria.
Journal ArticleDOI
Stepwise Regression and Stepwise Discriminant Analysis Need Not Apply here: A Guidelines Editorial:
TL;DR: Three problems with stepwise applications are explored in some detail, including the fact that computer packages use incorrect degrees of freedom in their stepwise computations, resulting in artifactually greater likelihood of obtaining spurious statistical significance.
Journal ArticleDOI
Prognostic Factors in Small Malignant Melanomas of Choroid and Ciliary Body
TL;DR: Four variables (largest diameter, location of anterior margin, mitotic activity, and optic nerve invasion) that might be correlated with clinical observations were found to be less accurate in separating fatal and nonfatal cases than cell type alone.
References
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Journal ArticleDOI
Ridge regression: biased estimation for nonorthogonal problems
TL;DR: In this paper, an estimation procedure based on adding small positive quantities to the diagonal of X′X was proposed, which is a method for showing in two dimensions the effects of nonorthogonality.
Book
BMD : biomedical computer programs
TL;DR: This book is very referred for you because it gives not only the experience but also lesson, it is about this book that will give wellness for all people from many societies.
Journal ArticleDOI
Ridge Regression: Applications to Nonorthogonal Problems
TL;DR: In this paper, the use of ridge regression methods is discussed and recommendations are made for obtaining a better regression equation than that given by ordinary least squares estimation. But the authors focus on the RIDGE TRACE which is a two-dimensional graphical procedure for portraying the complex relationships in multifactor data.
Book
Statistical Analysis: A Computer Oriented Approach
TL;DR: Explains fundamental techniques of classical univariate and multivariate statistical analysis and usage of packaged statistical programs, progressing from background material through exploratory techniques to more complicated specialized analyses.