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In den WarenkorbZustand: New. pp. 344.
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In den WarenkorbZustand: New. In.
Verlag: Chapman and Hall/CRC 2019-12-10, 2019
ISBN 10: 0367871637 ISBN 13: 9780367871635
Sprache: Englisch
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Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. pp. 344.
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In den WarenkorbZustand: New. pp. 342.
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In den WarenkorbHardcover. Zustand: Like New. Like New. Ships from Multiple Locations. book.
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In den WarenkorbPaperback. Zustand: Brand New. 344 pages. 10.00x7.00x0.87 inches. In Stock.
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Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
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In den WarenkorbGebunden. Zustand: New. Michael A. Proschan is a mathematical statistician in the Biostatistics Research Branch at the U.S. National Institute of Allergy and Infectious Diseases (NIAID). A fellow of the American Statistical Association, Dr. Proschan has publish.
Buch. Zustand: Neu. Neuware - 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.
Verlag: Fisicalbook, 2016
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
EUR 239,65
Anzahl: 1 verfügbar
In den Warenkorbpaperback. Zustand: Like New. Like New. book.
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
EUR 82,27
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In den WarenkorbPaperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Essentials of Probability Theory for Statisticians 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. The authors explain different methods of proofs and show how they are useful for establishing classic probability results.After building a foundation in probability, the text intersperses examples that make seemingly esoteric mathematical constructs more intuitive. These examples elucidate essential elements in definitions and conditions in theorems. In addition, counterexamples further clarify nuances in meaning and expose common fallacies in logic.This text encourages students in statistics and biostatistics to think carefully about probability. It gives them the rigorous foundation necessary to provide valid proofs and avoid paradoxes and nonsensical conclusions.