@book{ Solr-opac-EUL01-000979180, title = {Trends and Perspectives in Linear Statistical Inference : LinStat, Istanbul, August 2016}, series = {Contributions to Statistics,, ISSN 1431-1968}, editor = {Tez, Müjgan., szerkesztő}, editor = {von Rosen, Dietrich., szerkesztő}, publisher = {Cham : : Springer International Publishing : : Imprint: Springer}, year = {2018}, edition = {1st ed. 2018.}, pages = {257}, note = {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. .}, url = {https://doi.org/10.1007/978-3-319-73241-1} }