Computer Age Statistical Inference: Algorithms, Evidence, and Data Science - Rilegato

Efron, Bradley; Hastie, Trevor

Rilegato

ISBN 10: 1107149894 ISBN 13: 9781107149892

Casa editrice: Cambridge University Press, 2016

Riassunto

Take an exhilarating journey through the modern revolution in statistics with two of the ringleaders.

Su questo libro

Informazioni sugli autori

Bradley Efron is Max H. Stein Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University, California. He has held visiting faculty appointments at Harvard University, Massachusetts, the University of California, Berkeley, and Imperial College of Science, Technology and Medicine, London. Efron has worked extensively on theories of statistical inference, and is the inventor of the bootstrap sampling technique. He received the National Medal of Science in 2005 and the Guy Medal in Gold of the Royal Statistical Society in 2014.

Trevor Hastie is John A. Overdeck Professor, Professor of Statistics, and Professor of Biomedical Data Science at Stanford University, California. He is coauthor of Elements of Statistical Learning, a key text in the field of modern data analysis. He is also known for his work on generalized additive models and principal curves, and for his contributions to the R computing environment. Hastie was awarded the Emmanuel and Carol Parzen prize for Statistical Innovation in 2014.

Dettagli dell'edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 1107149894
• ISBN 13: 9781107149892
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 495
• Contatto del produttore: non disponibile
• Persona responsabile: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Germania