Applied statistics: theory and problem solutions with R
Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceed...
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, NJ, USA
Wiley
2020
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781119551522/?ar |
| Zusammenfassung: | Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory. Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background-taking the lessons learned from there to another level with this book's addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics. -Offers a practical over theoretical approach to the subject of applied statistics -Provides a pre-experimental as well as post-experimental approach to applied statistics -Features classroom tested material -Applicable to a wide range of people working in experimental design and all empirical sciences -Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others. |
| Beschreibung: | Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on November 05, 2019) |
| Umfang: | 1 Online-Ressource (xii, 497 Seiten) illustrations |
| ISBN: | 9781119551553 1119551552 9781119551584 1119551587 9781119551522 |
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| spelling | Rasch, Dieter VerfasserIn aut Applied statistics theory and problem solutions with R Dieter Rasch (Rostock, GM), Rob Verdooren, Jürgen Pilz Hoboken, NJ, USA Wiley 2020 ©2020 1 Online-Ressource (xii, 497 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on November 05, 2019) Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory. Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background-taking the lessons learned from there to another level with this book's addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics. -Offers a practical over theoretical approach to the subject of applied statistics -Provides a pre-experimental as well as post-experimental approach to applied statistics -Features classroom tested material -Applicable to a wide range of people working in experimental design and all empirical sciences -Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others. Mathematical statistics Problems, exercises, etc R (Computer program language) R (Langage de programmation) MATHEMATICS / Probability & Statistics / General Mathematical statistics exercise books Problems and exercises Problèmes et exercices Verdooren, L. R. VerfasserIn aut Pilz, Jürgen 1951- VerfasserIn aut 9781119551522 Erscheint auch als Druck-Ausgabe 9781119551522 |
| spellingShingle | Rasch, Dieter Verdooren, L. R. Pilz, Jürgen 1951- Applied statistics theory and problem solutions with R Mathematical statistics Problems, exercises, etc R (Computer program language) R (Langage de programmation) MATHEMATICS / Probability & Statistics / General Mathematical statistics exercise books Problems and exercises Problèmes et exercices |
| title | Applied statistics theory and problem solutions with R |
| title_auth | Applied statistics theory and problem solutions with R |
| title_exact_search | Applied statistics theory and problem solutions with R |
| title_full | Applied statistics theory and problem solutions with R Dieter Rasch (Rostock, GM), Rob Verdooren, Jürgen Pilz |
| title_fullStr | Applied statistics theory and problem solutions with R Dieter Rasch (Rostock, GM), Rob Verdooren, Jürgen Pilz |
| title_full_unstemmed | Applied statistics theory and problem solutions with R Dieter Rasch (Rostock, GM), Rob Verdooren, Jürgen Pilz |
| title_short | Applied statistics |
| title_sort | applied statistics theory and problem solutions with r |
| title_sub | theory and problem solutions with R |
| topic | Mathematical statistics Problems, exercises, etc R (Computer program language) R (Langage de programmation) MATHEMATICS / Probability & Statistics / General Mathematical statistics exercise books Problems and exercises Problèmes et exercices |
| topic_facet | Mathematical statistics Problems, exercises, etc R (Computer program language) R (Langage de programmation) MATHEMATICS / Probability & Statistics / General Mathematical statistics exercise books Problems and exercises Problèmes et exercices |
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