Statistical hypothesis testing in context: reproducibility, inference, and science
Fay and Brittain present statistical hypothesis testing and compatible confidence intervals, focusing on application and proper interpretation. The emphasis is on equipping applied statisticians with enough tools - and advice on choosing among them - to find reasonable methods for almost any problem...
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2022
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| Series: | Cambridge series in statistical and probabilistic mathematics
52 |
| Subjects: | |
| Online Access: | DE-12 DE-634 DE-92 Volltext |
| Summary: | Fay and Brittain present statistical hypothesis testing and compatible confidence intervals, focusing on application and proper interpretation. The emphasis is on equipping applied statisticians with enough tools - and advice on choosing among them - to find reasonable methods for almost any problem and enough theory to tackle new problems by modifying existing methods. After covering the basic mathematical theory and scientific principles, tests and confidence intervals are developed for specific types of data. Essential methods for applications are covered, such as general procedures for creating tests (e.g., likelihood ratio, bootstrap, permutation, testing from models), adjustments for multiple testing, clustering, stratification, causality, censoring, missing data, group sequential tests, and non-inferiority tests. New methods developed by the authors are included throughout, such as melded confidence intervals for comparing two samples and confidence intervals associated with Wilcoxon-Mann-Whitney tests and Kaplan-Meier estimates. Examples, exercises, and the R package asht support practical use |
| Item Description: | Title from publisher's bibliographic system (viewed on 07 Apr 2022) |
| Physical Description: | 1 Online-Ressource (xiv, 433 Seiten) |
| ISBN: | 9781108528825 |
| DOI: | 10.1017/9781108528825 |
Staff View
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Record in the Search Index
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| author | Fay, Michael P. ca. 20./21. Jh Brittain, Erica H. ca. 20./21. Jh |
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| dewey-full | 519.5/6 |
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| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| discipline_str_mv | Mathematik |
| doi_str_mv | 10.1017/9781108528825 |
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| isbn | 9781108528825 |
| language | English |
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| series2 | Cambridge series in statistical and probabilistic mathematics 52 |
| spelling | Fay, Michael P. ca. 20./21. Jh. (DE-588)1258319748 aut Statistical hypothesis testing in context reproducibility, inference, and science Michael P. Fay, Erica H. Brittain Cambridge Cambridge University Press 2022 1 Online-Ressource (xiv, 433 Seiten) txt rdacontent c rdamedia cr rdacarrier Cambridge series in statistical and probabilistic mathematics 52 Title from publisher's bibliographic system (viewed on 07 Apr 2022) Fay and Brittain present statistical hypothesis testing and compatible confidence intervals, focusing on application and proper interpretation. The emphasis is on equipping applied statisticians with enough tools - and advice on choosing among them - to find reasonable methods for almost any problem and enough theory to tackle new problems by modifying existing methods. After covering the basic mathematical theory and scientific principles, tests and confidence intervals are developed for specific types of data. Essential methods for applications are covered, such as general procedures for creating tests (e.g., likelihood ratio, bootstrap, permutation, testing from models), adjustments for multiple testing, clustering, stratification, causality, censoring, missing data, group sequential tests, and non-inferiority tests. New methods developed by the authors are included throughout, such as melded confidence intervals for comparing two samples and confidence intervals associated with Wilcoxon-Mann-Whitney tests and Kaplan-Meier estimates. Examples, exercises, and the R package asht support practical use Statistical hypothesis testing Brittain, Erica H. ca. 20./21. Jh. (DE-588)1258319861 aut Erscheint auch als Druck-Ausgabe 978-1-108-42356-4 https://doi.org/10.1017/9781108528825 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Fay, Michael P. ca. 20./21. Jh Brittain, Erica H. ca. 20./21. Jh Statistical hypothesis testing in context reproducibility, inference, and science Statistical hypothesis testing |
| title | Statistical hypothesis testing in context reproducibility, inference, and science |
| title_auth | Statistical hypothesis testing in context reproducibility, inference, and science |
| title_exact_search | Statistical hypothesis testing in context reproducibility, inference, and science |
| title_exact_search_txtP | Statistical hypothesis testing in context reproducibility, inference, and science |
| title_full | Statistical hypothesis testing in context reproducibility, inference, and science Michael P. Fay, Erica H. Brittain |
| title_fullStr | Statistical hypothesis testing in context reproducibility, inference, and science Michael P. Fay, Erica H. Brittain |
| title_full_unstemmed | Statistical hypothesis testing in context reproducibility, inference, and science Michael P. Fay, Erica H. Brittain |
| title_short | Statistical hypothesis testing in context |
| title_sort | statistical hypothesis testing in context reproducibility inference and science |
| title_sub | reproducibility, inference, and science |
| topic | Statistical hypothesis testing |
| topic_facet | Statistical hypothesis testing |
| url | https://doi.org/10.1017/9781108528825 |
| work_keys_str_mv | AT faymichaelp statisticalhypothesistestingincontextreproducibilityinferenceandscience AT brittainericah statisticalhypothesistestingincontextreproducibilityinferenceandscience |