Trends and Perspectives in Linear Statistical Inference
Dietrich von Rosen (Hrsg.), Müjgan Tez (Hrsg.)
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Springer International Publishing
Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
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.
Kundenbewertungen
multivariate model, theoretical and applied statistics, variance components, linear experiments, linear statistical models, estimators, prediction and testing, linear statistical inference, mixed linear model, high-dimensional statistical analysis, model selection