A course in statistics with R:
Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Maste...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Weitere beteiligte Personen: | , |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Chichester, West Sussex
Wiley
2016
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| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781119152729/?ar |
| Zusammenfassung: | Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in revisiting the underpinnings of the subject. With this dual goal in mind, the book begins with R basics and quickly covers visualization and exploratory analysis. Probability and statistical inference, inclusive of classical, nonparametric, and Bayesian schools, is developed with definitions, motivations, mathematical expression and R programs in a way which will help the reader to understand the mathematical development as well as R implementation. Linear regression models, experimental designs, multivariate analysis, and categorical data analysis are treated in a way which makes effective use of visualization techniques and the related statistical techniques underlying them through practical applications, and hence helps the reader to achieve a clear understanding of the associated statistical models. |
| Beschreibung: | Includes bibliographical references and index. - Print version record and CIP data provided by publisher |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781119152729 1119152720 9781523114917 1523114916 |
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| 520 | |a Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in revisiting the underpinnings of the subject. With this dual goal in mind, the book begins with R basics and quickly covers visualization and exploratory analysis. Probability and statistical inference, inclusive of classical, nonparametric, and Bayesian schools, is developed with definitions, motivations, mathematical expression and R programs in a way which will help the reader to understand the mathematical development as well as R implementation. Linear regression models, experimental designs, multivariate analysis, and categorical data analysis are treated in a way which makes effective use of visualization techniques and the related statistical techniques underlying them through practical applications, and hence helps the reader to achieve a clear understanding of the associated statistical models. | ||
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| spelling | Tattar, Prabhanjan 1979- VerfasserIn aut A course in statistics with R Prabhanjan Tattar, Suresh Ramaiah, B.G. Manjunath Chichester, West Sussex Wiley 2016 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record and CIP data provided by publisher Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in revisiting the underpinnings of the subject. With this dual goal in mind, the book begins with R basics and quickly covers visualization and exploratory analysis. Probability and statistical inference, inclusive of classical, nonparametric, and Bayesian schools, is developed with definitions, motivations, mathematical expression and R programs in a way which will help the reader to understand the mathematical development as well as R implementation. Linear regression models, experimental designs, multivariate analysis, and categorical data analysis are treated in a way which makes effective use of visualization techniques and the related statistical techniques underlying them through practical applications, and hence helps the reader to achieve a clear understanding of the associated statistical models. Mathematical statistics Data processing R (Computer program language) Statistique mathématique ; Informatique R (Langage de programmation) MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Mathematical statistics ; Data processing Ramaiah, Suresh 1979- MitwirkendeR ctb Manjunath, B. G. 1981- MitwirkendeR ctb 9781119152729 Erscheint auch als Druck-Ausgabe 9781119152729 |
| spellingShingle | Tattar, Prabhanjan 1979- A course in statistics with R Mathematical statistics Data processing R (Computer program language) Statistique mathématique ; Informatique R (Langage de programmation) MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Mathematical statistics ; Data processing |
| title | A course in statistics with R |
| title_auth | A course in statistics with R |
| title_exact_search | A course in statistics with R |
| title_full | A course in statistics with R Prabhanjan Tattar, Suresh Ramaiah, B.G. Manjunath |
| title_fullStr | A course in statistics with R Prabhanjan Tattar, Suresh Ramaiah, B.G. Manjunath |
| title_full_unstemmed | A course in statistics with R Prabhanjan Tattar, Suresh Ramaiah, B.G. Manjunath |
| title_short | A course in statistics with R |
| title_sort | course in statistics with r |
| topic | Mathematical statistics Data processing R (Computer program language) Statistique mathématique ; Informatique R (Langage de programmation) MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Mathematical statistics ; Data processing |
| topic_facet | Mathematical statistics Data processing R (Computer program language) Statistique mathématique ; Informatique R (Langage de programmation) MATHEMATICS ; Applied MATHEMATICS ; Probability & Statistics ; General Mathematical statistics ; Data processing |
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