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Primer for Data Analytics and Graduate Study in Statistics

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Primer for Data Analytics and Graduate Study in Statistics Synopsis

This book is specially designed to refresh and elevate the level of understanding of the foundational background in probability and distributional theory required to be successful in a graduate-level statistics program. Advanced undergraduate students and introductory graduate students from a variety of quantitative backgrounds will benefit from the transitional bridge that this volume offers, from a more generalized study of undergraduate mathematics and statistics to the career-focused, applied education at the graduate level. In particular, it focuses on growing fields that will be of potential interest to future M.S. and Ph.D. students, as well as advanced undergraduates heading directly into the workplace: data analytics, statistics and biostatistics, and related areas.

About This Edition

ISBN: 9783030474782
Publication date:
Author: Douglas Wolfe, Grant Schneider
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 233 pages
Genres: Probability and statistics
Stochastics
Algorithms and data structures
Information theory
Databases