A multivariate two-sample mean test for small sample size and missing data

Biometrics

Volumn 62, Issue 3, 2006, Pages 877-885

  Wu, Yujun ^a   Genton, Marc G ^b   Stefanski, Leonard A ^c  

^a UNIVERSITY OF MEDICINE AND DENTISTRY OF NEW JERSEY   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

^c NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Drug discovery; High dimensional data; Small n large p

Indexed keywords

PROBABILITY DISTRIBUTIONS; STATISTICAL TESTS;

CHI-SQUARED DISTRIBUTION; COMPONENT WISE; DRUG DISCOVERY; HIGH DIMENSIONAL DATA; HOTELLING T; MEAN VECTOR; MISSING DATA; SAMPLE MEANS; SMALL N LARGE P; SMALL SAMPLE SIZE;

CLUSTERING ALGORITHMS;

MONTE CARLO ANALYSIS; MULTIVARIATE ANALYSIS; VECTOR;

ARTICLE; BIOMETRY; CHI SQUARE DISTRIBUTION; DATA ANALYSIS; DRUG IDENTIFICATION; HISTOGRAM; MONTE CARLO METHOD; MULTIVARIATE ANALYSIS; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 33748763822     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2006.00533.x     Document Type: Article

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