Matrix Algebra: Theory, Computations and Applications in Statistics - Couverture rigide

Gentle, James E.

 
9783031421433: Matrix Algebra: Theory, Computations and Applications in Statistics

Synopsis

Comprehensive coverage of matrix algebra for data science and statistical theory

Over 100 pages of additional material and 30 extra exercises in the new edition

Even clearer text and more comprehensive coverage

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À propos de l?auteur

James E. Gentle is University Professor Emeritus at George Mason University. He is a Fellow of the American Statistical Association (ASA) and of the American Association for the Advancement of Science. He has held several national offices in the ASA and has served as associate editor of journals of the ASA, as well as for other journals in statistics and computing. He is author of Random Number Generation and Monte Carlo Methods, Computational Statistics, and Statistical Analysis of Financial Data. He is co-editor-in-chief of Wiley Interdisciplinary Reviews: Computational Statistics.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9783031516450: Matrix Algebra: Theory, Computations and Applications in Statistics

Edition présentée

ISBN 10 :  3031516451 ISBN 13 :  9783031516450
Editeur : Springer International Publishin..., 2025
Couverture souple