EVALUATION OF THE REQUIRED SAMPLE-SIZE IN SOME SUPERVISED PATTERN-RECOGNITION TECHNIQUES

被引：12

作者：

DERDE, MP ^{[1
]}

MASSART, DL ^{[1
]}

机构：

[1] VRIJE UNIV BRUSSELS,INST PHARMACEUT,PHARMACEUT & BIOMED ANAL LAB,B-1090 BRUSSELS,BELGIUM

来源：

ANALYTICA CHIMICA ACTA | 1989年 / 223卷 / 01期

关键词：

D O I：

10.1016/S0003-2670(00)84072-6

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

引用

页码：19 / 44

页数：26

共 13 条

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[2]

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[3] UNEQ - A DISJOINT MODELING TECHNIQUE FOR PATTERN-RECOGNITION BASED ON NORMAL-DISTRIBUTION [J].

DERDE, MP ;

MASSART, DL .

ANALYTICA CHIMICA ACTA, 1986, 184 :33-51

[4] SUPERVISED PATTERN-RECOGNITION - THE IDEAL METHOD [J].

DERDE, MP ;

MASSART, DL .

ANALYTICA CHIMICA ACTA, 1986, 191 :1-16

[5]

DERDE MP, UNPUB CHEMOMET INTEL

[6] STANDARD DISTANCE IN UNIVARIATE AND MULTIVARIATE-ANALYSIS [J].

FLURY, BK ;

RIEDWYL, H .

AMERICAN STATISTICIAN, 1986, 40 (03) :249-251

[7]

Lachenbruch P. A., 1975, DISCRIMINANT ANAL

[8] ON EXPECTED PROBABILITIES OF MISCLASSIFICATION IN DISCRIMINANT ANALYSIS NECESSARY SAMPLE SIZE AND A RELATION WITH MULTIPLE CORRELATION COEFFICIENT [J].

LACHENBRUCH, PA .

BIOMETRICS, 1968, 24 (04) :823-+

[9]

MASSART DL, 1978, EVALUATION OPTIMIZAT, P428

[10]

NILSON NJ, 1965, LEARNING MACHINES F, P31

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