Trends and Perspectives in Linear Statistical Inference LinStat, Istanbul, August 2016
Language: English
Published by Birkh?user, 2018
- Hardcover
- New
Condition: New
£ 114.91
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Add to basketItem description from seller
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. Sprache: Englisch Gewicht in Gramm: 519.
Seller Inventory # IB-727470
- Title
- Trends and Perspectives in Linear Statistical Inference LinStat, Istanbul, August 2016
- Publisher
- Birkh?user
- Publication year
- 2018
- Condition
- Neu
- Binding
- Gebundene Ausgabe
- Language
- English
- ISBN 10
- 3319732404
- ISBN 13
- 9783319732404
- Item weight
- 519 grams
- Series
- Book 28 of 36: Contributions to Statistics
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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