Книга "Understanding and Applying Basic Statistical Methods Using R" - это простой и лаконичный учебник по основным статистическим концепциям, методам и техникам, используя язык программирования R. Она уникальным образом совмещает новейшие научные достижения в области статистики с методами, которые используются неспециалистами в этой области. Книга дает концептуальную основу для понимания преимуществ и применения этих методов, а также представляет современные и новые возможности в области базовых техник, связанных с ненормальностью, выбросами, неоднородностью (неравными дисперсиями) и кривизной.
В книге представлены иллюстрации и упражнения с использованием данных, которые демонстрируют практическую значимость многих подходов, а также обсуждаются распространенные ошибки, такие как устранение выбросов и применение стандартных методов на основе среднего значения, используя оставшиеся данные. Книга содержит разделы, посвященные программированию на R или вычислительным деталям, что поможет читателю ознакомиться с основными концепциями и принципами, необходимыми для понимания и применения многих доступных методов.
Книга может служить идеальным учебником для студентов бакалавриата и магистратуры, изучающих статистику в научных и/или социальных науках, а также может использоваться в качестве справочника для профессиональных статистиков и других практикующих специалистов, которые хотят лучше понимать современные статистические методы и программирование на R. Автор книги, Рэнд Р. Уилкокс, является профессором в отделе психологии Университета Южной Калифорнии и автором более 320 статей, опубликованных в различных статистических журналах.
A one-stop resource for statistical concepts, techniques, and methods, this book bridges the gap in awareness that sometimes exists between new ideas in statistics and how non-specialists might interpret and put them to work. Noteworthy features include: Insights into modern statistical approaches and methodological alternatives to deal with issues like non-normal data, outliers and heteroscedascicity. Coverage of basics in R programming, allowing you to assess common techniques with code. Incorporation of real data to provide hands-on learning experience while also enhancing comprehension of concepts. A reliable book for undergraduate- and graduate level statistics students, addressing topics major departments in Life Science and Social Science have asked about. This book also delves into procedural and conceptual needs of other professionals seeking deeper knowledge and uptake of new statistical directions.
This book bridges the gap between academic research and the non-statistics professional by providing easy access to current statistical and computational methods. It introduces R programming, which is used to illustrate how standard approaches to statistical problems work for non-normal data. An instructor's guide provides solutions and suggestions for modifying analytic techniques based on students' conceptual and computational understanding.
Электронная Книга «Understanding and Applying Basic Statistical Methods Using R» написана автором Rand R. Wilcox в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9781119061403
Описание книги от Rand R. Wilcox
Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods, the book features modern insights and advances relevant to basic techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature. Featuring a guide to R, the book uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems associated with classic techniques. Thoroughly class-room tested, the book includes sections that focus on either R programming or computational details to help the reader become acquainted with basic concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes: Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R A companion website with the data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The book can also serve as a reference for professional statisticians and other practitioners looking to better understand modern statistical methods as well as R programming. Rand R. Wilcox, PhD, is Professor in the Department of Psychology at the University of Southern California, Fellow of the Association for Psychological Science, and an associate editor for four statistics journals. He is also a member of the International Statistical Institute. The author of more than 320 articles published in a variety of statistical journals, he is also the author eleven other books on statistics. Dr. Wilcox is creator of WRS (Wilcox’ Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes statistical methods, particularly robust methods for comparing groups and studying associations.
