Jeanne Kowalski, Ph D, is Assistant Professor in the Division of
Oncology Biostatistics at The Johns Hopkins University. Dr.
Kowalski has authored or coauthored over thirty journal articles
that focus on a wide range of issues in medicine and public health
through the use of novel statistical methods, including
U-statistics, generalized linear mixed-effects models, generalized
estimating equations, asymptotics, and measurement error
models.
Xin M. Tu, Ph D, is Professor in the Department of Biostatistics
and Computational Biology as well as the Department of Psychiatry
at The University of Rochester in New York. Dr. Tu has authored or
coauthored over ninety publications in peer-reviewed journals
during his career and is acclaimed as one of the best-versed
authorities in the area of U-statistics.
1 Ebooks par Jeanne Kowalski
Jeanne Kowalski & Xin M. Tu: Modern Applied U-Statistics
A timely and applied approach to the newly discovered methods and applications of U-statistics Built on years of collaborative research and academic experience, Modern Applied U-Statistics successful …
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Anglais
DRM
€137.99