Matrices, Statistics and Big Data Selected Contributions from IWMS 2016
tarafından
 
Ahmed, S. Ejaz. editor.

Başlık
Matrices, Statistics and Big Data Selected Contributions from IWMS 2016

Yazar
Ahmed, S. Ejaz. editor.

ISBN
9783030175191

Edisyon
1st ed. 2019.

Fiziksel Niteleme
XII, 190 p. 24 illus., 14 illus. in color. online resource.

Seri
Contributions to Statistics,

İçindekiler
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, 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 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). .

Özet
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.

Konu Başlığı
Statistics .
 
Matrix theory.
 
Algebra.
 
Data mining.
 
Probabilities.
 
Mathematical statistics.
 
Statistical Theory and Methods. https://scigraph.springernature.com/ontologies/product-market-codes/S11001
 
Linear and Multilinear Algebras, Matrix Theory. https://scigraph.springernature.com/ontologies/product-market-codes/M11094
 
Data Mining and Knowledge Discovery. https://scigraph.springernature.com/ontologies/product-market-codes/I18030
 
Statistics for Life Sciences, Medicine, Health Sciences. https://scigraph.springernature.com/ontologies/product-market-codes/S17030
 
Probability Theory and Stochastic Processes. https://scigraph.springernature.com/ontologies/product-market-codes/M27004
 
Probability and Statistics in Computer Science. https://scigraph.springernature.com/ontologies/product-market-codes/I17036

Yazar Ek Girişi
Ahmed, S. Ejaz.
 
Carvalho, Francisco.
 
Puntanen, Simo.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
https://doi.org/10.1007/978-3-030-17519-1


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book429076-1001QA276 -280Springer E-Book Collection