Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1994
|
| Schriftenreihe: | Springer Series in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Permutation tests permit us to choose the test statistic best suited to the task at hand. This freedom of choice opens up a thousand practical applications, including many which are beyond the reach of conventional parametric statistics. Flexible, robust in the face of missing data and violations of assumptions, the permutation test is among the most powerful of statistical procedures. Through sample size reduction, permutation tests can reduce the costs of experiments and surveys. This text on the application of permutation tests in biology, medicine, science, and engineering may be used as a step-by-step self-guiding reference manual by research workers and as an intermediate text for undergraduates and graduates in statistics and the applied sciences with a first course in statistics and probability under their belts. Research workers in the applied sciences are advised to read through Chapters 1 and 2 once quickly before proceeding to Chapters 3 through 8 which cover the principal applications they are likely to encounter in practice. Chapter 9 is a must for the practitioner, with advice for coping with real life emergencies such as missing or censored data, after-the-fact covariates, and outliers. Chapter 10 uses practical applications in archeology, biology, climatology, education and social science to show the research worker how to develop new permutation statistics to meet the needs of specific applications. The practitioner will find Chapter 10 a source of inspiration as well as a practical guide to the development of new and novel statistics |
| Beschreibung: | 1 Online-Ressource (X, 228 p) |
| ISBN: | 9781475723465 9781475723489 |
| ISSN: | 0172-7397 |
| DOI: | 10.1007/978-1-4757-2346-5 |
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| 500 | |a Permutation tests permit us to choose the test statistic best suited to the task at hand. This freedom of choice opens up a thousand practical applications, including many which are beyond the reach of conventional parametric statistics. Flexible, robust in the face of missing data and violations of assumptions, the permutation test is among the most powerful of statistical procedures. Through sample size reduction, permutation tests can reduce the costs of experiments and surveys. This text on the application of permutation tests in biology, medicine, science, and engineering may be used as a step-by-step self-guiding reference manual by research workers and as an intermediate text for undergraduates and graduates in statistics and the applied sciences with a first course in statistics and probability under their belts. Research workers in the applied sciences are advised to read through Chapters 1 and 2 once quickly before proceeding to Chapters 3 through 8 which cover the principal applications they are likely to encounter in practice. Chapter 9 is a must for the practitioner, with advice for coping with real life emergencies such as missing or censored data, after-the-fact covariates, and outliers. Chapter 10 uses practical applications in archeology, biology, climatology, education and social science to show the research worker how to develop new permutation statistics to meet the needs of specific applications. The practitioner will find Chapter 10 a source of inspiration as well as a practical guide to the development of new and novel statistics | ||
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Datensatz im Suchindex
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| discipline | Biologie Mathematik |
| doi_str_mv | 10.1007/978-1-4757-2346-5 |
| format | Electronic eBook |
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| isbn | 9781475723465 9781475723489 |
| issn | 0172-7397 |
| language | English |
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| spelling | Good, Phillip Verfasser aut Permutation Tests A Practical Guide to Resampling Methods for Testing Hypotheses by Phillip Good New York, NY Springer New York 1994 1 Online-Ressource (X, 228 p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 Permutation tests permit us to choose the test statistic best suited to the task at hand. This freedom of choice opens up a thousand practical applications, including many which are beyond the reach of conventional parametric statistics. Flexible, robust in the face of missing data and violations of assumptions, the permutation test is among the most powerful of statistical procedures. Through sample size reduction, permutation tests can reduce the costs of experiments and surveys. This text on the application of permutation tests in biology, medicine, science, and engineering may be used as a step-by-step self-guiding reference manual by research workers and as an intermediate text for undergraduates and graduates in statistics and the applied sciences with a first course in statistics and probability under their belts. Research workers in the applied sciences are advised to read through Chapters 1 and 2 once quickly before proceeding to Chapters 3 through 8 which cover the principal applications they are likely to encounter in practice. Chapter 9 is a must for the practitioner, with advice for coping with real life emergencies such as missing or censored data, after-the-fact covariates, and outliers. Chapter 10 uses practical applications in archeology, biology, climatology, education and social science to show the research worker how to develop new permutation statistics to meet the needs of specific applications. The practitioner will find Chapter 10 a source of inspiration as well as a practical guide to the development of new and novel statistics Mathematics Statistics Mathematical and Computational Biology Statistics for Life Sciences, Medicine, Health Sciences Mathematik Statistik Randomisierter Test (DE-588)4294178-7 gnd rswk-swf Resampling (DE-588)4288033-6 gnd rswk-swf Statistischer Test (DE-588)4077852-6 gnd rswk-swf Statistischer Test (DE-588)4077852-6 s Resampling (DE-588)4288033-6 s 1\p DE-604 Randomisierter Test (DE-588)4294178-7 s 2\p DE-604 https://doi.org/10.1007/978-1-4757-2346-5 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Good, Phillip Permutation Tests A Practical Guide to Resampling Methods for Testing Hypotheses Mathematics Statistics Mathematical and Computational Biology Statistics for Life Sciences, Medicine, Health Sciences Mathematik Statistik Randomisierter Test (DE-588)4294178-7 gnd Resampling (DE-588)4288033-6 gnd Statistischer Test (DE-588)4077852-6 gnd |
| subject_GND | (DE-588)4294178-7 (DE-588)4288033-6 (DE-588)4077852-6 |
| title | Permutation Tests A Practical Guide to Resampling Methods for Testing Hypotheses |
| title_auth | Permutation Tests A Practical Guide to Resampling Methods for Testing Hypotheses |
| title_exact_search | Permutation Tests A Practical Guide to Resampling Methods for Testing Hypotheses |
| title_full | Permutation Tests A Practical Guide to Resampling Methods for Testing Hypotheses by Phillip Good |
| title_fullStr | Permutation Tests A Practical Guide to Resampling Methods for Testing Hypotheses by Phillip Good |
| title_full_unstemmed | Permutation Tests A Practical Guide to Resampling Methods for Testing Hypotheses by Phillip Good |
| title_short | Permutation Tests |
| title_sort | permutation tests a practical guide to resampling methods for testing hypotheses |
| title_sub | A Practical Guide to Resampling Methods for Testing Hypotheses |
| topic | Mathematics Statistics Mathematical and Computational Biology Statistics for Life Sciences, Medicine, Health Sciences Mathematik Statistik Randomisierter Test (DE-588)4294178-7 gnd Resampling (DE-588)4288033-6 gnd Statistischer Test (DE-588)4077852-6 gnd |
| topic_facet | Mathematics Statistics Mathematical and Computational Biology Statistics for Life Sciences, Medicine, Health Sciences Mathematik Statistik Randomisierter Test Resampling Statistischer Test |
| url | https://doi.org/10.1007/978-1-4757-2346-5 |
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