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A distribution-free two-sample run test applicable to high-..:
BISWAS, MUNMUN
;
MUKHOPADHYAY, MINERVA
;
GHOSH, ANIL K.
Biometrika. 101 (2014) 4 - p. 913-926 , 2014
Link:
https://www.jstor.org/stable/43304696
RT Journal T1
A distribution-free two-sample run test applicable to high-dimensional data
UL https://suche.suub.uni-bremen.de/peid=jstor-43304696&Exemplar=1&LAN=DE A1 BISWAS, MUNMUN A1 MUKHOPADHYAY, MINERVA A1 GHOSH, ANIL K. PB Biometrika Trust, University College London YR 2014 SN 0006-3444 SN 1464-3510 K1 Information science K1 Data products K1 Datasets K1 Mathematics K1 Pure mathematics K1 Geometry K1 Euclidean geometry K1 Plane geometry K1 Vertices K1 Applied mathematics K1 Statistics K1 Applied statistics K1 Descriptive statistics K1 Statistical sampling K1 Sampling methods K1 Data sampling K1 Statistical physics K1 Dimensional analysis K1 Dimensionality K1 Abstract spaces K1 High dimensional spaces K1 Statistical analysis K1 Statistical tests K1 Rank tests K1 Statistical distributions K1 Distribution functions K1 Probability distributions K1 Gaussian distributions K1 Normal distribution curve K1 Sampling distributions K1 Behavioral sciences K1 Psychology K1 Cognitive psychology K1 Perception K1 Perceptual processing K1 Perceptual localization K1 Philosophy K1 Logic K1 Logical topics K1 Formal logic K1 Mathematical logic K1 Mathematical set theory K1 Transfinite numbers K1 Infinity JF Biometrika VO 101 IS 4 SP 913 OP 926 LK http://dx.doi.org/https://www.jstor.org/stable/43304696 DO https://www.jstor.org/stable/43304696 SF ELIB - SuUB Bremen
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