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Main Title Monte Carlo Studies of the Classifications Made by Nonparametric Linear Discriminant Functions. 2. Effects of Nonideal Data.
Author Stouch, T. R. ; Jurs, P. C. ;
CORP Author Pennsylvania State Univ., University Park.;Health Effects Research Lab., Research Triangle Park, NC.
Year Published 1985
Report Number EPA/600/J-85/319;
Stock Number PB86-163854
Additional Subjects Pattern recognition ; Classifications ; Monte Carlo method ; Reprints ; Discriminant functions
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NTIS  PB86-163854 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 9p
Abstract Recently, the levels of correct classifications due to chance that were attainable by nonparametric linear discriminant functions (NLDFs) were studied. The previous work dealt with easily generated, idealized data. Because of this, the application of those results to actual studies using nonideal data may not be warranted. The studies reported here analyze the effects of zero values, indicator values, and multicollinearities: variations that occur in actual data and that could affect the levels of random classifications. Three structure-activity relationship studies that were performed with NLDFs are also examined.
Supplementary Notes See also PB86-163847. Pub. in Jnl. of Chemical Information and Computer Sciences 15, n2 p92-98 1985. Sponsored by Health Effects Research Lab., Research Triangle Park, NC.
NTIS Title Notes Journal article.
Title Annotations Reprint: Monte Carlo Studies of the Classifications Made by Nonparametric Linear Discriminant Functions. 2. Effects of Nonideal Data.
PUB Date Free Form c1985
Category Codes 9B; 62
NTIS Prices PC A02/MF A01
Primary Description 600/11
Document Type NT
Cataloging Source NTIS/MT
Control Number 612915756
Origin NTIS
Type CAT