Trends and Perspectives in Linear Statistical Inference
Language: English
Published by Springer International Publishing, 2018
- Hardcover
- New
Condition: New
£ 81.47
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents selected and peer-reviewed contributions on linear statistical inferenceCovers a wide range of topics in both theoretical and applied statisticsIncludes contributions on linear models and high-dimensional statistical analysis.
Seller Inventory # 196762109
- Title
- Trends and Perspectives in Linear Statistical Inference
- Author
- Tez, Müjgan|Rosen, Dietrich von
- Publisher
- Springer International Publishing
- Publication year
- 2018
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319732404
- ISBN 13
- 9783319732404
- Dimensions
- 2.1 x 24.3 x 16.3
- Series
- Book 28 of 36: Contributions to Statistics
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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