Trends and Perspectives in Linear Statistical Inference
LinStat, Istanbul, August 2016
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Beschreibung
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.
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.
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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Müjgan Tez
Themen in »Trends and Perspectives in Linear Statistical Inference«
linear statistical models linear statistical inference estimators model selection theoretical and applied statistics high-dimensional statistical analysis multivariate model variance components prediction and testing linear experiments mixed linear model