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Standard distance in univariate and multivariate analysisFLURY, B. K; RIEDWYL, H.The American statistician. 1986, Vol 40, Num 3, pp 249-251, issn 0003-1305Article

Updating formulae for allocation of individualsCAMPBELL, N. A.Applied statistics. 1985, Vol 34, Num 3, pp 235-236, issn 0035-9254Article

T2 tests, the linear two-group discriminant function, and their computation by linear regressionFLURY, B; RIEDWYL, H.The American statistician. 1985, Vol 39, Num 1, pp 20-25, issn 0003-1305Article

Multivariate outliers and decompositions of Mahalanobis distanceMYUNG GEUN KIM.Communications in statistics. Theory and methods. 2000, Vol 29, Num 7, pp 1511-1526, issn 0361-0926Article

A valuation of state of object based on weighted Mahalanobis distanceKRUSINSKA, E.Pattern recognition. 1987, Vol 20, Num 4, pp 413-418, issn 0031-3203Article

The mahalanobis distance and elliptic distributionsMITCHELL, A. S. F; KRZANOWSKI, W. J.Biometrika. 1985, Vol 72, Num 2, pp 464-467, issn 0006-3444Article

SELECTING THE NORMAL POPULATION WITH LARGEST (SMALLEST) VALUE OF MAHALANOBIS DISTANCE FROM THE ORIGINCHATTOPADHYAY AK.1981; COMMUN. STAT., THEORY METHODS; ISSN 0361-0926; USA; DA. 1981; VOL. 10; NO 1; PP. 31-37; BIBL. 7 REF.Article

Minimizing linear inequality constrained mahalanobis distancesWOLLAN, P. C; DYKSTRA, R. L.Applied statistics. 1987, Vol 36, Num 2, pp 234-240, issn 0035-9254Article

BIAS REDUCTION USING MAHALANOBIS-METRIC MATCHINGRUBIN DB.1980; BIOMETRICS; USA; DA. 1980; VOL. 36; NO 2; PP. 293-298; ABS. FRE; BIBL. 9 REF.Article

Prediction of euclidean distances with discrete and continuous outcomesMORTIER, F; ROBIN, S; LASSALVY, S et al.Journal of multivariate analysis. 2006, Vol 97, Num 8, pp 1799-1814, issn 0047-259X, 16 p.Article

Comparison of supervised self-organizing maps using euclidian or Mahalanobis distance in classification contextFESSANT, F; AKNIN, P; OUKHELLOU, L et al.Lecture notes in computer science. 2001, issn 0302-9743, isbn 3-540-42235-8, part I, 637-644Conference Paper

Pattern recognition analysis of near-infrared spectra by robust distance methodJUNGHWAN CHO; GEMPERLINE, P. J.Journal of chemometrics. 1995, Vol 9, Num 3, pp 169-178, issn 0886-9383Article

A review of multi-channel indices of class separability = Revue des indices multicanaux de séparabilité des classesTHOMAS, I. L; CHING, N. P; BENNING, V. M et al.International journal of remote sensing (Print). 1987, Vol 8, Num 3, pp 331-350, issn 0143-1161Article

Tentative pour extraire le maximum d'informations des numérations bactériennes = Attempt to draw maximum of information from bacterial numerationsPRUN, M.Techniques et sciences municipales (1971). 1984, Num 3, pp 137-140, issn 0151-6973Article

Detection on influential observations in functional errors-in-variables modelABDULLAH, M. B.Communications in statistics. Theory and methods. 1995, Vol 24, Num 6, pp 1585-1595, issn 0361-0926Article

A test of p-variate normalityMUDHOLKAR, G. S; MCDERMOTT, M; SRIVASTAVA, D. K et al.Biometrika. 1992, Vol 79, Num 4, pp 850-854, issn 0006-3444Article

Fast training of support vector machines by extracting boundary dataABE, Shigeo; INOUE, Takuya.Lecture notes in computer science. 2001, pp 308-313, issn 0302-9743, isbn 3-540-42486-5Conference Paper

Identification of chemical substances by their near-infrared spectraSALAMIN, P. A; CORNELIS, Y; BARTELS, H et al.Chemometrics and intelligent laboratory systems. 1988, Vol 3, Num 4, pp 329-333Article

Estimating Mahalanobis's distance using Bayesian analysisRADHAKRISHNAN, R.Communications in statistics. Theory and methods. 1984, Vol 13, Num 20, pp 2583-2600, issn 0361-0926Article

EFFECT OF DIMENSIONALITY AND ESTIMATION ON THE PERFORMANCE OF GAUSSIAN CLASSIFIERSEL SHEIKH TS; WACKER AG.1980; PATTERN RECOGNIT.; GBR; DA. 1980; VOL. 12; NO 3; PP. 115-126; BIBL. 23 REF.Article

ALGORITHM 44: AN ABBREVIATED METHOD OF CALCULATING THE MAHALANOBIS DISTANCE OR RESIDUAL SUM OF SQUARES IN A LINEAR REGRESSION MODEL.BARTKOVIAK A.1976; ZASTOSOW. MAT.; POLSKA; DA. 1976; VOL. 15; NO 2; PP. 215-222; ABS. POL.; BIBL. 3 REF.Article

ON THE OPTIMAL NUMBER OF FEATURES IN THE CLASSIFICATION OF MULTIVARIATE GAUSSIAN DATAJAIN AK; WALLER WG.1978; PATTERN RECOGNIT.; GBR; DA. 1978; VOL. 10; NO 5-6; PP. 365-374; BIBL. 33 REF.Article

The conditional predictive ordinate for the normal distributionPETTIT, L. I.Journal of the Royal Statistical Society. Series B. Methodological. 1990, Vol 52, Num 1, pp 175-184, issn 0035-9246Article

Universal inadmissibility of least squares estimatorLU, C.-Y; SH, N.-Z.Journal of multivariate analysis. 2000, Vol 72, Num 1, pp 22-29, issn 0047-259XArticle

A program for calculating mahalanobis distances using principal component analysisSHAH, N. K; GEMPERLINE, P. J.TrAC. Trends in analytical chemistry (Regular ed.). 1989, Vol 8, Num 10, pp 357-361, issn 0165-9936Article

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