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Hard Cover. Condition: New. 558pp. Illustrated. New, with remainder mark on bottom. Volume 134 in Dekker's Statistics:Textbooks and Monographs series. Laminated pictorial boards. "Discusses estimation and modelling in clinical trials, provides both theoretical and applied perspectives, illustrates the common aspects of multiple comparisons and selection techniques, and acts as a thorough guide to the literature with extensive cross-references." The practical and theoretical topics of the 32 contributors are all aimed towards developing methods for the better understanding of data. A major focus of the book concerns the multiple comparisons of treatments with a control and subset selection in single factor experiments. Other topics include Dunnett's test, split-block and split-split designs, distribution-free comparisons, nonlinear renewal theory, measuring toxicity, Behrens-Fisher problem, sampling methods, and more. Written for applied statisticians and mathematicians, biometricians, biostatisticians, pharmacists doing research, graduate students looking for research topics, and advanced undergraduates in these disciplines.
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Hardcover. Condition: Brand New. 1st edition. 576 pages. 9.25x6.50x1.25 inches. In Stock.
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Aims to provide in-depth descriptions of the latest developments in multiple comparison methods and selection procedures, while emphasizing biometry. This text is published in honour of the 70th birthday of Charles W. Dunnett - a pioneer in statistical methodology.
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Aims to provide in-depth descriptions of the latest developments in multiple comparison methods and selection procedures, while emphasizing biometry. This text is published in honour of the 70th birthday of Charles W. Dunnett - a pioneer in statistical methodology.