About this book series
The Statistics for
Industry, Technology, and Engineering series will present up-to-date statistical
ideas and methods that are relevant to researchers and accessible to an
interdisciplinary audience: carefully organized authoritative presentations,
numerous illustrative examples based on current practice, reliable methods,
realistic data sets, and discussions of select new emerging methods and their
application potential. Publications will
appeal to a broad interdisciplinary readership including both researchers and
practitioners in applied statistics, data science, industrial statistics,
engineering statistics, quality control, manufacturing, applied reliability, and
general quality improvement methods.
Principal Topic Areas:
The series will include professional expository monographs,
advanced textbooks, handbooks, general references, thematic compilations of
applications/case studies, and carefully edited survey books.
Series Editor: David Steinberg, Tel Aviv University, Israel
Editorial Advisory Board:
V. Roshan Joseph, Georgia Institute of Technology, USA
Ron S. Kenett, KPA Ltd, University of Turin, Italy; Neaman Institute, Technion, Israel
Christine M. Anderson-Cook, Los Alamos National Laboratory, New Mexico, USA
Bradley Jones, JMP Division, SAS Institute, North Carolina, USA
Fugee Tsung, Hong Kong University of Science and Technology, Hong Kong
- Electronic ISSN
- 2662-5563
- Print ISSN
- 2662-5555
- Series Editor
-
- David Steinberg
Book titles in this series
Abstracted and indexed in
-
- zbMATH