LEADER 04766nam 22007335 450 001 9910349323003321 005 20230810164621.0 010 $a3-030-17519-7 024 7 $a10.1007/978-3-030-17519-1 035 $a(CKB)4100000008870321 035 $a(MiAaPQ)EBC5845513 035 $a(DE-He213)978-3-030-17519-1 035 $a(PPN)242824188 035 $a(EXLCZ)994100000008870321 100 $a20190801d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMatrices, Statistics and Big Data $eSelected Contributions from IWMS 2016 /$fedited by S. Ejaz Ahmed, Francisco Carvalho, Simo Puntanen 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (xii, 190 pages) $cillustrations 225 1 $aContributions to Statistics 311 $a3-030-17518-9 327 $aPreface (S. Ejaz Ahmed, Francisco Carvalho, Simo Puntanen) -- Further properties of the linear sufficiency in the partitioned linear model (Augustyn Markiewicz, Simo Puntanen) -- Hybrid model for recurrent event data (Ivo Sousa-Ferreira, Ana Maria Abreu) -- A new look at combining information from stratum submodels (Rados?aw Kala) -- Ingram Olkin (1924?2016): An appreciation for a people person (Simo Puntanen, George P. H. Styan) -- A notion of positive definiteness for arithmetical functions (Mika Mattila, Pentti Haukkanen) -- Some issues in generalized linear modeling (Alan Agresti) -- Orthogonal block structure and uniformly best linear unbiased estimators (Sandra S. Ferreira, Dário Ferreira, Célia Nunes, Francisco Carvalho, João Tiago Mexia) -- Hadamard matrices on error detection and correction: Useful links to BIBD (Carla Francisco, Teresa A. Oliveira, Amílcar Oliveira, Francisco Carvalho) -- Covariance matrix regularization for banded Toeplitz-structure via Frobenius-norm discrepancy (Xiangzhao Cui, Zhenyang Li, Jine Zhao, Defei Zhang, Jianxin Pan) -- Penalized relative error estimation of a partially functional linear multiplicative model (Tao Zhang, Yuan Huang, Qingzhao Zhang, Shuangge Ma, S. Ejaz Ahmed) -- High-dimensional regression under correlated design: An extensive simulation study (S. Ejaz Ahmed, Hwanwoo Kim, Gökhan Y?ld?r?m and Bahad?r Yüzba??) -- An efficient estimation strategy in autoregressive conditional Poisson model with applications to hospital emergency department data (S. Ejaz Ahmed, Khalifa Es-Sebaiy, Abdulkadir Hussein, Idir Ouassou, Anne Snowdon). . 330 $aThis volume features selected, refereed papers on various aspects of statistics, matrix theory and its applications to statistics, as well as related numerical linear algebra topics and numerical solution methods, which are relevant for problems arising in statistics and in big data. The contributions were originally presented at the 25th International Workshop on Matrices and Statistics (IWMS 2016), held in Funchal (Madeira), Portugal on June 6-9, 2016. The IWMS workshop series brings together statisticians, computer scientists, data scientists and mathematicians, helping them better understand each other?s tools, and fostering new collaborations at the interface of matrix theory and statistics. 410 0$aContributions to Statistics 606 $aStatistics 606 $aAlgebras, Linear 606 $aData mining 606 $aBiometry 606 $aProbabilities 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aStatistical Theory and Methods 606 $aLinear Algebra 606 $aData Mining and Knowledge Discovery 606 $aBiostatistics 606 $aProbability Theory 606 $aProbability and Statistics in Computer Science 615 0$aStatistics. 615 0$aAlgebras, Linear. 615 0$aData mining. 615 0$aBiometry. 615 0$aProbabilities. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 14$aStatistical Theory and Methods. 615 24$aLinear Algebra. 615 24$aData Mining and Knowledge Discovery. 615 24$aBiostatistics. 615 24$aProbability Theory. 615 24$aProbability and Statistics in Computer Science. 676 $a512.9434 676 $a519.5 702 $aAhmed$b S. Ejaz$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCarvalho$b Francisco$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPuntanen$b Simo$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910349323003321 996 $aMatrices, Statistics and Big Data$91732586 997 $aUNINA