Computational Statistics in Data Science

by Walter W. Piegorsch (Editor), Walter W. Piegorsch (Editor), Hao Helen Zhang (Editor)

An essential roadmap to the application of computational statistics in contemporary data science In Computational Statistics in Data Science , a team of distinguished mathematicians and statisticians delivers an expert compilation of concepts, theories, techniques, and practices in computational statistics for readers who seek a single, standalone sourcebook on statistics in contemporary data science. The book contains multiple sections devoted to key, specific areas in computational statistics, offering modern and accessible presentations of up-to-date techniques. Computational Statistics in Data Science provides complimentary access to finalized entries in the Wiley Statistics Reference Online compendium. Readers will also Perfect for researchers and scholars working in any field requiring intermediate and advanced computational statistics techniques, Computational Statistics in Data Science will also earn a place in the libraries of scholars researching and developing computational data-scientific technologies and statistical graphics.

672 pages, Hardcover

Published April 18, 2022