Partovi Nia, Vahid - Department of Mathematics and Statistics, McGill University

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Partovi Nia, Vahid - Department of Mathematics and Statistics, McGill University

c Statistical Research and Training Center J. Statist. Res. Iran 2 (2005): 69-92 XY '1384 u=DUtR w R}}=B '2 |xQ=tW '2 |xQwO
High Resolution Time Domain
ON THE PRESENTATION OF CONCLUSIONS 1. The general style and the amount of detail depend on the technical and statistical back-
Journal of Statistical Theory and Applications Volume 4, Number 2,2005, pp. 209-217
Sweave = R LATEX2 A brief tutorial
Bioinformatics Rapid Classification of Phenotypic Mutants of
Appl. Comput. Math. 7 (2008), no.1, pp.119-125 A CONSISTENT CONFIDENCE INTERVAL FOR FUZZY CAPABILITY
Fast High-Dimensional Bayesian Classification and Clustering
Application of spectral analysis of daily water level and spring discharge hydrographs data for comparing
ON COVARIANCE GENERATING FUNCTIONS AND SPECTRAL DENSITIES OF PERIODICALLY CORRELATED
Sankhya : The Indian Journal of Statistics 2005, Volume 67, Part 3, pp 568-589
Gauss-Hermite Quadrature: Numerical or Statistical Method?
Microarray Example We use the widely analysed leukemia data of Golub et. al. (1999), focusing on the 38 patients of
Standard Analysis Standard unsupervised methods such as principal components or hierarchical clustering (see
Statistics & Probability Letters 76 (2006) 369372 An inequality involving correlations
Statistical Papers DOI 10.1007/s00362-007-0077-0