JOACHIM HARTUNG, Ph D, is Professor in the Department of
Statistics at the Dortmund University of Technology, Germany. He
has published several books and two dozen journal articles in the
field of statistics.
GUIDO KNAPP, Ph D, is Assistant Professor in the
Department of Statistics at the Dortmund University of Technology,
Germany. Dr. Knapp”s areas of research interest include variance
component models, error components regression models,
meta-analysis, and flexible design in clinical trials.
BIMAL K. SINHA, Ph D, is Presidential Research Professor
of Statistics in the Department of Mathematics and Statistics at
the University of Maryland at Baltimore County (UMBC). A Fellow of
both the Institute of Mathematical Statistics and the American
Statistical Association, Dr. Sinha”s research specializes in the
areas of multivariate analysis, mixed linear models, decision
theory, robustness, and environmental statistics.
4 Електронні книги від Bimal K. Sinha
Joachim Hartung & Guido Knapp: Statistical Meta-Analysis with Applications
An accessible introduction to performing meta-analysis across various areas of research The practice of meta-analysis allows researchers to obtain findings from various studies and compile them to ve …
PDF
Англійська
DRM
€131.99
André I. Khuri & Thomas Mathew: Statistical Tests for Mixed Linear Models
An advanced discussion of linear models with mixed or random effects. In recent years a breakthrough has occurred in our ability to draw inferences from exact and optimum tests of variance component …
PDF
Англійська
DRM
€175.99
Joachim Hartung & Guido Knapp: Statistical Meta-Analysis with Applications
An accessible introduction to performing meta-analysis across various areas of research The practice of meta-analysis allows researchers to obtain findings from various studies and compile them to ve …
EPUB
Англійська
DRM
€131.99
Takeaki Kariya & Bimal K. Sinha: Robustness of Statistical Tests
Robustness of Statistical Tests provides a general, systematic finite sample theory of the robustness of tests and covers the application of this theory to some important testing problems commonly co …
PDF
Англійська
DRM
€56.70