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Contributions to Statistics Ser.: Matrices, Statistics and Big Data : Selected Contributions from IWMS 2016 by Francisco Carvalho (2019, Hardcover)

About this product

Product Identifiers

PublisherSpringer International Publishing A&G
ISBN-103030175189
ISBN-139783030175184
eBay Product ID (ePID)19038554650

Product Key Features

Number of PagesXii, 190 Pages
Publication NameMatrices, Statistics and Big Data : Selected Contributions from Iwms 2016
LanguageEnglish
SubjectAlgebra / Linear, Probability & Statistics / General, Databases / Data Mining
Publication Year2019
TypeTextbook
AuthorFrancisco Carvalho
Subject AreaMathematics, Computers
SeriesContributions to Statistics Ser.
FormatHardcover

Dimensions

Item Weight16.8 Oz
Item Length9.3 in
Item Width6.1 in

Additional Product Features

Number of Volumes1 vol.
IllustratedYes
Table Of ContentPreface (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 (Radoslaw 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 Yildirim and Bahadir Yüzbasi).- 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).
SynopsisThis 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.
LC Classification NumberQA276-280

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