๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Discriminant analysis of data in ulcer and nonulcer populations

โœ Scribed by Cleator, I. G. M. ;Stoller, J. L. ;Nunn, P. N. ;Holubitsky, I. B. ;Johnstone, F. R. C. ;Harrison, R. C.


Book ID
112475471
Publisher
Springer-Verlag
Year
1973
Weight
626 KB
Volume
18
Category
Article
ISSN
0002-9211

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Comparison of regularized discriminant a
โœ W. Wu; Y. Mallet; B. Walczak; W. Penninckx; D.L. Massart; S. Heuerding; F. Erni ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 760 KB

Three classifiers, namely linear discriminant analysis (LDA), quadratic discriminant analysis (QDA) and regularized discriminant analysis (RDA) are considered in this study for classification based on MR data. Because NIR data sets are severely ill-conditioned, the three methods cannot be directly a

Symbolic discriminant analysis of microa
โœ Jason H. Moore; Joel S. Parker; Nancy J. Olsen; Thomas M. Aune ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 136 KB

New laboratory technologies such as DNA microarrays have made it possible to measure the expression levels of thousands of genes simultaneously in a particular cell or tissue. The challenge for genetic epidemiologists will be to develop statistical and computational methods that are able to identify