Statistical Hypothesis Testing in Context: Reproducibility, Inference, and Science (Cambridge in Statistical and Probabilistic Mathematics) - Hardcover

Buch 40�von 46: Cambridge Series in Statistical and Probabilistic Mathematics

Fay, Michael P.; Brittain, Erica H.

9781108423564: Statistical Hypothesis Testing in Context: Reproducibility, Inference, and Science (Cambridge in Statistical and Probabilistic Mathematics)

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ISBN 10: 1108423566 ISBN 13: 9781108423564

Verlag: Cambridge University Press, 2022

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This coherent guide equips applied statisticians to make good choices and proper interpretations in real investigations facing real data.

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�ber die Autorin bzw. den Autor

Michael P. Fay is a Mathematical Statistician at the National Institute of Allergy and Infectious Diseases, and previously worked at the National Cancer Institute. He has served as associate editor for Biometrics, and is currently an associate editor for Clinical Trials and a Fellow of the American Statistical Association. He is a co-author on over 100 papers in statistical and medical journals and has written and maintains over a dozen R packages on CRAN.

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Verlag: Cambridge University Press
Erscheinungsdatum: 2022
Sprache: Englisch
ISBN 10: 1108423566
ISBN 13: 9781108423564
Einband: Gebundene Ausgabe
Anzahl der Seiten: 448
Kontakt zum Hersteller: Nicht verf�gbar
Verantwortliche Person: gpsr@libri.de
gpsr@libri.de

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Statistical Hypothesis Testing in Context: Volume 52: Reproducibility, Inference, and Science: Series Number 52 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 52)

Michael P. Fay

Verlag: Cambridge University Press, United Kingdom, Cambridge, 2022

ISBN 10: 1108423566 ISBN 13: 9781108423564

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Paperback. Zustand: Very Good. 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Bestandsnummer des Verk�ufers GOR013208179

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Statistical Hypothesis Testing in Context: Volume 52: Reproducibility, Inference, and Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 52)

Fay, Michael P.,Brittain, Erica H.

Verlag: Cambridge University Press, 2022

ISBN 10: 1108423566 ISBN 13: 9781108423564

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Statistical Hypothesis Testing in Context: Volume 52: Reproducibility, Inference, and Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 52)

Fay, Michael P.; Brittain, Erica H.

Verlag: Cambridge University Press, 2022

ISBN 10: 1108423566 ISBN 13: 9781108423564

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Statistical Hypothesis Testing in Context: Volume 52: Reproducibility, Inference, and Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 52)

Fay, Michael P.; Brittain, Erica H.

Verlag: Cambridge University Press, 2022

ISBN 10: 1108423566 ISBN 13: 9781108423564

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Statistical Hypothesis Testing in Context: Volume 52: Reproducibility, Inference, and Science (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 52)

Fay, Michael P.; Brittain, Erica H.

Verlag: Cambridge University Press, 2022

ISBN 10: 1108423566 ISBN 13: 9781108423564

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Statistical Hypothesis Testing in Context: Volume 52 (Hardcover)

Michael P. Fay

Verlag: Cambridge University Press, Cambridge, 2022

ISBN 10: 1108423566 ISBN 13: 9781108423564

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Hardcover. Zustand: new. Hardcover. 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. With over 60 years of applied experience, Fay and Brittain present hypothesis testing and compatible confidence intervals, emphasize strategies to address the reproducibility crisis, and provide methods for proper causal interpretation in scientific research. The book presents a full scope of tools and advice on their appropriate use in practice. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verk�ufers 9781108423564

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