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Topics in Applied Statistics : 2012 Symposium of the International Chinese Statistical Association / / edited by Mingxiu Hu, Yi Liu, Jianchang Lin



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Titolo: Topics in Applied Statistics : 2012 Symposium of the International Chinese Statistical Association / / edited by Mingxiu Hu, Yi Liu, Jianchang Lin Visualizza cluster
Pubblicazione: New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Edizione: 1st ed. 2013.
Descrizione fisica: 1 online resource (340 p.)
Disciplina: 519.5
Soggetto topico: Statistics 
Statistics for Life Sciences, Medicine, Health Sciences
Statistics for Business, Management, Economics, Finance, Insurance
Statistics for Social Sciences, Humanities, Law
Persona (resp. second.): HuMingxiu
LiuYi
LinJianchang
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Bayesian statistics in clinical trials -- High-dimensional data analysis:   Survival analysis -- Adaptive designs -- Statistics in Business and Finance -- Biomarker analysis -- Statistical genetics and genomics -- Data mining and statistical learning.
Sommario/riassunto: The 21st ICSA Applied Statistics Symposium took place between the 23rd and 26th of June, 2012 in Boston, Massachusetts. The Symposium was co-sponsored by the International Society for Biopharmaceutical Statistics (ISBS) and American Statistical Association (ASA). This is the first proceedings volume to share research from the ICSA Applied Statistics Symposium. The volume consists of 27 selected papers from topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. All papers feature original, peer-reviewed content. The editors intentionally selected papers as broad as possible to serve the whole statistical community and the vast variety in research interests.
Titolo autorizzato: Topics in Applied Statistics  Visualizza cluster
ISBN: 1-4614-7846-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910438035003321
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Serie: Springer Proceedings in Mathematics & Statistics, . 2194-1009 ; ; 55