Overview
- Emphasizes integrating key mathematical concepts and results into the body of the statistical presentation
- Emphasizes the distribution of functions of random variables and associated methods for obtaining sampling distributions for important statistics, including the equal-in-distribution method
- Focuses on converting tricks for evaluating common statistical sums and integrals into procedural techniques for ease of use
- Features numerous interesting and informative examples and exercises
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (8 chapters)
Keywords
About this book
Reviews
“This text looks to bridge the gap between a general undergraduate education in a mathematically oriented field and a career-oriented graduate study in Statistics. In my opinion, the authors achieve this goal. … this text is a quality candidate for a primary book for an undergraduate course in Probability theory or a graduate course that introduces the basics of Statistical theory.” (Grant Innerst, MAA Reviews, July 18, 2021)
“The text provides the necessary framework for an undergraduate course for anyone who is interested in either exploring job opportunities in the data analytics field or in attending a graduate program in statistics or biostatistics.” (Bülent Karasözen, zbMATH 1454.62004, 2021)
Authors and Affiliations
About the authors
Grant Schneider is the Head of Upstart Columbus and a Data Scientist at Upstart, the leading AI lending platform. Before returning to Ohio in 2019, he spent the previous five years working on Upstart’s Data Science team in Silicon Valley building AI models used to extend credit to borrowers left behind by traditional models. Dr. Schneider obtained his Bachelors, Masters, and Ph.D. degrees from The Ohio State University and is the co-author of Intuitive Introductory Statistics (Springer 2017). He has also authored the NSM3 and IIS R packages.
Bibliographic Information
Book Title: Primer for Data Analytics and Graduate Study in Statistics
Authors: Douglas Wolfe, Grant Schneider
DOI: https://doi.org/10.1007/978-3-030-47479-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-47478-2Published: 27 September 2020
Softcover ISBN: 978-3-030-47481-2Published: 28 September 2021
eBook ISBN: 978-3-030-47479-9Published: 26 September 2020
Edition Number: 1
Number of Pages: X, 233
Number of Illustrations: 1 b/w illustrations, 12 illustrations in colour
Topics: Statistical Theory and Methods, Big Data/Analytics, Data Structures and Information Theory, Probability Theory and Stochastic Processes