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...
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| Sprache: | English |
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Wiley
2020
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| Schriftenreihe: | Wiley series in probability and statistics
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| 520 | |a 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 p' 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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| spelling | Demidenko, Eugene 1948- VerfasserIn aut Advanced statistics with applications in R Eugene Demidenko (Dartmouth College) Hoboken, NJ Wiley 2020 1 online resource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Wiley series in probability and statistics Includes bibliographical references and index. - Print version record and CIP data provided by publisher 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 p' 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.' Mathematical statistics Problems, exercises, etc Data processing Statistics Problems, exercises, etc Data processing R (Computer program language) Statistique mathématique ; Informatique ; Problèmes et exercices Statistique ; Informatique ; Problèmes et exercices R (Langage de programmation) MATHEMATICS ; Probability & Statistics ; General Mathematical statistics ; Data processing Statistics ; Data processing exercise books Problems and exercises Problèmes et exercices 9781118387986 Erscheint auch als Druck-Ausgabe 9781118387986 TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781118387986/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Demidenko, Eugene 1948- Advanced statistics with applications in R Mathematical statistics Problems, exercises, etc Data processing Statistics Problems, exercises, etc Data processing R (Computer program language) Statistique mathématique ; Informatique ; Problèmes et exercices Statistique ; Informatique ; Problèmes et exercices R (Langage de programmation) MATHEMATICS ; Probability & Statistics ; General Mathematical statistics ; Data processing Statistics ; Data processing exercise books Problems and exercises Problèmes et exercices |
| title | Advanced statistics with applications in R |
| title_auth | Advanced statistics with applications in R |
| title_exact_search | Advanced statistics with applications in R |
| title_full | Advanced statistics with applications in R Eugene Demidenko (Dartmouth College) |
| title_fullStr | Advanced statistics with applications in R Eugene Demidenko (Dartmouth College) |
| title_full_unstemmed | Advanced statistics with applications in R Eugene Demidenko (Dartmouth College) |
| title_short | Advanced statistics with applications in R |
| title_sort | advanced statistics with applications in r |
| topic | Mathematical statistics Problems, exercises, etc Data processing Statistics Problems, exercises, etc Data processing R (Computer program language) Statistique mathématique ; Informatique ; Problèmes et exercices Statistique ; Informatique ; Problèmes et exercices R (Langage de programmation) MATHEMATICS ; Probability & Statistics ; General Mathematical statistics ; Data processing Statistics ; Data processing exercise books Problems and exercises Problèmes et exercices |
| topic_facet | Mathematical statistics Problems, exercises, etc Data processing Statistics Problems, exercises, etc Data processing R (Computer program language) Statistique mathématique ; Informatique ; Problèmes et exercices Statistique ; Informatique ; Problèmes et exercices R (Langage de programmation) MATHEMATICS ; Probability & Statistics ; General Mathematical statistics ; Data processing Statistics ; Data processing exercise books Problems and exercises Problèmes et exercices |
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