James E. Gentle

eBook, PDF

Matrix Algebra (eBook, PDF)

Theory, Computations and Applications in Statistics

Beschreibung

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

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 8.69MB

Barrierefreiheit

• Text-to-Speech

Autor

¿James E. Gentle, PhD, is University Professor of Computational Statistics at George Mason University. He is a Fellow of the American Statistical Association (ASA) and of the American Association for the Advancement of Science. Professor Gentle has held several national offices in the ASA and has served as editor and 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 (Springer, 2003) and Computational Statistics (Springer, 2009).

Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 648
• Erscheinungstermin: 12. Oktober 2017
• Englisch
• ISBN-13: 9783319648675
• Artikelnr.: 53060399