Daniel Q. Naiman (Ph D, Mathematics, 1982, University of Illinois at Urbana-Champaign) is Professor and Chair of the Applied Mathematics and Statistics at the Johns Hopkins University. He was elected as a Fellow of the Institute of Mathematical Statistics in 1997, and was an Erskine Fellow at the University of Canterbury in 2005. Much of his mathematical research has been focused on geometric and computational methods for multiple testing. He has collaborated on papers applying statistics in a variety of areas: bioinformatics, econometrics, environmental health, genetics, hydrology, and microbiology. His articles have appeared in various journals including Annals of Statistics, Bioinformatics, Biometrika, Human Heredity, Journal of Multivariate Analysis, Journal of the American Statistical Association, and Science.
3 Ebooks tarafından Lingxin Hao
Lingxin Hao & Daniel Q. Q. Naiman: Quantile Regression
Quantile Regression , the first book of Hao and Naiman′s two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodologi …
EPUB
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DRM
€38.99
Lingxin Hao & Daniel Q. Q. Naiman: Assessing Inequality
Providing basic foundations for measuring inequality from the perspective of distributional properties This monograpg reviews a set of widely used summary inequality measures, and the lesser kno …
EPUB
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DRM
€38.99
Lingxin Hao: Color Lines, Country Lines
The growing number of immigrants living and working in America has become a controversial topic from classrooms to corporations and from kitchen tables to Capitol Hill. Many native-born Americans fea …
PDF
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DRM
€44.74