Essentials of Probability Theory for Statisticians (PDF)
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This text provides graduate students with a rigorous treatment of probability theory, with an emphasis on results central to theoretical statistics. It presents classical probability theory motivated with illustrative examples in biostatistics, such as outlier tests, monitoring clinical trials, and using adaptive methods to make design changes based on accumulating data. In addition, counterexamples further clarify nuances in meaning and expose common fallacies in logic. The authors explain different methods of proofs and show how they are useful for establishing classic probability results.
Pamela A. Shaw is an assistant professor of biostatistics in the Department of Biostatistics and Epidemiology at the University of Pennsylvania Perelman School of Medicine. Dr. Shaw has published several articles in numerous peer-reviewed journals. Her research interests include methodology to address covariate and outcome measurement error, the evaluation of diagnostic tests, and the design of medical studies. She earned a PhD in biostatistics from the University of Washington.
- Autoren: Michael A. Proschan , Pamela A. Shaw
- 2018, 1. Auflage, 344 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 131536235X
- ISBN-13: 9781315362359
- Erscheinungsdatum: 03.09.2018
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- Größe: 33 MB
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