Advanced statistics with applications in R
Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood . Many statistics issues including the recent crisis with...
Formato: | Libro electrónico |
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Idioma: | Inglés |
Publicado: |
Hoboken, N.J.:
Wiley
2020.
Hoboken, NJ : 2020. |
Edición: | 1st edition |
Colección: | Wiley series in probability and statistics.
THEi Wiley ebooks. |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009849102206719 |
Sumario: | Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood . Many statistics issues including the recent crisis with p -value are caused by misunderstanding of statistical concepts due to poor theoretical background of practitioners and applied statisticians. This book is the product of a forty-year experience in teaching of probability and statistics and their applications for solving real-life problems. There are more than 442 examples in the book: basically every probability or statistics concept is illustrated with an example accompanied with an R code. Many examples, such as Who said π? What team is better? The fall of the Roman empire, James Bond chase problem, Black Friday shopping, Free fall equation: Aristotle or Galilei , and many others are intriguing. These examples cover biostatistics, finance, physics and engineering, text and image analysis, epidemiology, spatial statistics, sociology, etc. Advanced Statistics with Applications in R teaches students to use theory for solving real-life problems through computations: there are about 500 R codes and 100 datasets. These data can be freely downloaded from the author's website dartmouth.edu/~eugened . This book is suitable as a text for senior undergraduate students with major in statistics or data science or graduate students. Many researchers who apply statistics on the regular basis find explanation of many fundamental concepts from the theoretical perspective illustrated by concrete real-world applications. |
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Notas: | Includes bibliographical references (p. 843-850) and index |
Descripción Física: | 1 online resource (877 pages) |
Formato: | Access using campus network via VPN at home (THEi Users Only) |
Bibliografía: | Includes bibliographical references and index. |
ISBN: | 9781523154869 9781119449195 9781118594131 |