English | 2022 | ISBN: 1119561078, 978-1119561071 | 674 pages | True PDF | 27.32 MB
An essential roadmap to the application of computational statistics in contemporary data science
InComputational 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 theWiley StatsRef: Statistics Reference Online compendium. Readers will also find:
Perfect for researchers and scholars working in any field requiring intermediate and advanced computational statistics techniques,Computational Statistics in Data Sciencewill also earn a place in the libraries of scholars researching and developing computational data-scientific technologies and statistical graphics.
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