Handbook of Multiple Comparisons

Author:   Xinping Cui (Dept. of Statistics, U of California, USA) ,  Thorsten Dickhaus (U of Bremen, Institute for Statistics, Germany) ,  Ying Ding (University of Pittsburgh) ,  Jason C. Hsu (The Ohio State U, USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367140670


Pages:   404
Publication Date:   16 November 2021
Format:   Hardback
Availability:   In Print   Availability explained
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Handbook of Multiple Comparisons


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Author:   Xinping Cui (Dept. of Statistics, U of California, USA) ,  Thorsten Dickhaus (U of Bremen, Institute for Statistics, Germany) ,  Ying Ding (University of Pittsburgh) ,  Jason C. Hsu (The Ohio State U, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.930kg
ISBN:  

9780367140670


ISBN 10:   0367140675
Pages:   404
Publication Date:   16 November 2021
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Xinping Cui is professor and chair of the Department of Statistics at the University of California, Riverside, USA. Her interdisciplinary research focuses on multiple testing, statistical genomics, precision medicine and system biology. Thorsten Dickhaus is full professor of Mathematical Statistics at the University of Bremen, Germany. He is a (co-) author of approx. 50 journal articles and four books. For more than 15 years, his research focuses on simultaneous statistical inference and multiple testing. Ying Ding is Associate Professor in the Department of Biostatistics at the University of Pittsburgh. Her research focuses on survival analysis, large-scale genomics and proteomics analysis, multiple testing, and precision medicine. Jason C. Hsu is an Emeritus Professor in Statistics at the Ohio State University. His research interests are in multiple comparison, logic-respecting estimands, and targeted therapies for personalized/precision medicine.

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