AI Publishing LLC, 2020. — 329 p. — ISBN 978-1-7347901-6-0. Data and statistics are the core subjects of Machine Learning (ML). The reality is the average programmer may be tempted to view statistics with disinterest. But if you want to exploit the incredible power of Machine Learning, you need a thorough understanding of statistics. The reason is a Machine Learning...
Mir Masoom Ali, Rahmatullah Imon, Irfan Ali, Haitham M. Yousof (Editor). — CRC Press, 2025. — 506 p. — ISBN: 978-1-003-37988-1. The book is a collection of different aspects of outliers and related topics written by experts. Topics covered include definition of outliers, their sources, consequences, identification, computational and robustness issues, handling of outliers in...
Dover Publications, 1979. — 259 p. — (Dover Books on Mathematics). — ISBN: 0486637603, 9780486637600
There are many textbooks which describe current methods of statistical analysis, while neglecting related theory. There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two...
Chapman and Hall/CRC, 2025. — 354 p. — (Chapman & Hall/CRC Biostatistics Series). — ISBN: 978-0-429-48878-8. Power and Sample Size in R guides the reader through power and sample size calculations for a wide variety of study outcomes and designs and illustrates their implementation in R software. It is designed to be used as a learning tool for students as well as a resource...
Springer, 2022. — 452 p. — ISBN 978-3-031-07566-7. This innovative textbook presents material for a course on modern statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory...
Syncfusion Inc., 2016 - 104 p. Statistics is the foundation of intelligent data analysis. Statistics Fundamentals Succinctly by Katie Kormanik provides the foundational bricks and mortar needed to master the theories and methodologies behind statistical procedures. In less than 100 pages, you’ll understand how to better gather and interpret all the information at your...
Independently published, 2022-10-14. — 224 p. — ISBN-13: 979-8358180710. Not knowing statistics can lead to a loss of money, time, and accurate information. What am I looking at? What do these numbers mean? Why? These are frequent thoughts of those who don’t know much about statistics. “I’m not a number’s person” is not a good excuse to avoid learning the basics of this...
Springer, 2019. — 85 p. — ISBN: 978-3-030-12564-6 (eBook). Stationarity is a very general, qualitative assumption, that can be assessed on the basis of application specifics. It is thus a rather attractive assumption to base statistical analysis on, especially for problems for which less general qualitative assumptions, such as independence or finite memory, clearly fail....
Pelican Book, 2019. — 312 p. — ISBN: 978-0241398630. Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more...
Basic Books, 2019. — 407 p. — ISBN: 978-1-5416-1852-7. The definitive guide to statistical thinking Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the...
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