Trends and Perspectives in Linear Statistical Inference
LinStat, Istanbul, August 2016
Editors: Tez, Müjgan, von Rosen, Dietrich (Eds.)
- 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
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- 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.
- About the authors
-
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.
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Bibliographic Information
- 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
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-73241-1
- DOI
- 10.1007/978-3-319-73241-1
- Hardcover ISBN
- 978-3-319-73240-4
- Series ISSN
- 1431-1968
- Edition Number
- 1
- Number of Pages
- X, 257
- Number of Illustrations and Tables
- 34 b/w illustrations, 26 illustrations in colour
- Topics
