Overview
- Presents selected and peer-reviewed contributions on linear statistical inference
- Covers a wide range of topics in both theoretical and applied statistics
- Includes contributions on linear models and high-dimensional statistical analysis
Part of the book series: Contributions to Statistics (CONTRIB.STAT.)
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Table of contents (14 papers)
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Front Matter
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Back Matter
Keywords
About this book
This volume features selected contributions on a variety of topics related to linear statistical inference. The peer-reviewed papers from the International Conference on Trends and Perspectives in Linear Statistical Inference (LinStat 2016) held in Istanbul, Turkey, 22-25 August 2016, cover topics in both theoretical and applied statistics, such as linear models, high-dimensional statistics, computational statistics, the design of experiments, and multivariate analysis. The book is intended for statisticians, Ph.D. students, and professionals who are interested in statistical inference.
Editors and Affiliations
About the editors
Müjgan Tez is a professor at the Department of Mathematics of the Marmara University in Istanbul, Turkey. Her research interests include nonlinear models, measurement error of nonlinear models, geometry of statistical models, variance and covariance analysis, mixed models and meta-analysis.
Dietrich von Rosen graduated in mathematical statistics at Stockholm University, Sweden and is currently a professor at the Department of Energy and Technology of the Swedish University of Agricultural Sciences. His main research interest is multivariate analysis and its extensions, including repeated measurements analysis and high-dimensional analysis.
Bibliographic Information
Book Title: Trends and Perspectives in Linear Statistical Inference
Book Subtitle: LinStat, Istanbul, August 2016
Editors: Müjgan Tez, Dietrich von Rosen
Series Title: Contributions to Statistics
DOI: https://doi.org/10.1007/978-3-319-73241-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-73240-4Published: 02 February 2018
Softcover ISBN: 978-3-319-89242-9Published: 07 June 2019
eBook ISBN: 978-3-319-73241-1Published: 01 February 2018
Series ISSN: 1431-1968
Series E-ISSN: 2628-8966
Edition Number: 1
Number of Pages: X, 257
Number of Illustrations: 34 b/w illustrations, 26 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Business, Management, Economics, Finance, Insurance, Statistics for Life Sciences, Medicine, Health Sciences, Statistics and Computing/Statistics Programs