國立高雄大學圖資館 |

Language: English

Back

Matrices, statistics and big datasel...

(1998 :)

Matrices, statistics and big dataselected contributions from IWMS 2016 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Matrices, statistics and big dataedited by S. Ejaz Ahmed, Francisco Carvalho, Simo Puntanen.
Reminder of title:	selected contributions from IWMS 2016 /
remainder title:	IWMS 2016
other author:	Ahmed, S. Ejaz.
corporate name:
Published:	Cham :Springer International Publishing :2019.
Description:	xii, 190 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	MatricesTextbooks.
Online resource:	https://doi.org/10.1007/978-3-030-17519-1
ISBN:	9783030175191$q(electronic bk.)

Matrices, statistics and big dataselected contributions from IWMS 2016 /
Matrices, statistics and big dataselected contributions from IWMS 2016 /[electronic resource] :IWMS 2016edited by S. Ejaz Ahmed, Francisco Carvalho, Simo Puntanen. - Cham :Springer International Publishing :2019. - xii, 190 p. :ill. (some col.), digital ;24 cm. - Contributions to statistics,1431-1968. - Contributions to statistics..

Preface (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 (Radosław 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, Dario Ferreira, Celia Nunes, Francisco Carvalho, João Tiago Mexia) -- Hadamard matrices on error detection and correction: Useful links to BIBD (Carla Francisco, Teresa A. Oliveira, Amilcar 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 Yıldırım and Bahadır Yüzbaşı) -- 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)

This 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.

ISBN: 9783030175191$q(electronic bk.)

Standard No.: 10.1007/978-3-030-17519-1doiSubjects--Topical Terms:

439902
Matrices
--Textbooks.

LC Class. No.: QA188

Dewey Class. No.: 519.5

Matrices, statistics and big dataselected contributions from IWMS 2016 /
LDR:03427nmm a2200349 a 4500 001 563943
003 DE-He213
005 20191205163445.0
006 m d
007 cr nn 008maaau
008 200311s2019 gw s 0 eng d
020 $a 9783030175191$q(electronic bk.)
020 $a 9783030175184$q(paper)
024 7 $a 10.1007/978-3-030-17519-1 $2 doi
035 $a 978-3-030-17519-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA188
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.5 $2 23
090 $a QA188 $b .I61 2016
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Matrices, statistics and big data $h [electronic resource] : $b selected contributions from IWMS 2016 / $c edited by S. Ejaz Ahmed, Francisco Carvalho, Simo Puntanen.
246 3 $a IWMS 2016
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xii, 190 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Contributions to statistics, $x 1431-1968
505 0 $a Preface (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 (Radosław 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, Dario Ferreira, Celia Nunes, Francisco Carvalho, João Tiago Mexia) -- Hadamard matrices on error detection and correction: Useful links to BIBD (Carla Francisco, Teresa A. Oliveira, Amilcar 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 Yıldırım and Bahadır Yüzbaşı) -- 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)
520 $a This 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.
650 0 $a Matrices $v Textbooks. $3 439902
650 0 $a Mathematical statistics $3 182294
650 0 $a Big data $v Congresses. $3 592065
650 0 $a Data mining $v Congresses. $3 380776
650 1 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Linear and Multilinear Algebras, Matrix Theory. $3 274063
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 274067
650 2 4 $a Probability Theory and Stochastic Processes. $3 274061
650 2 4 $a Probability and Statistics in Computer Science. $3 274053
700 1 $a Ahmed, S. Ejaz. $3 678096
700 1 $a Carvalho, Francisco. $3 849704
700 1 $a Puntanen, Simo. $3 524694
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Contributions to statistics. $3 593379
856 4 0 $u https://doi.org/10.1007/978-3-030-17519-1
950 $a Mathematics and Statistics (Springer-11649)