Quantile Regression

Author:   Roger Koenker (University of Illinois, Urbana-Champaign)
Publisher:   Cambridge University Press
Volume:   38
ISBN:  

9780511754098


Publication Date:   06 July 2010
Format:   Undefined
Availability:   Available To Order   Availability explained
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Quantile Regression


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Author:   Roger Koenker (University of Illinois, Urbana-Champaign)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press (Virtual Publishing)
Volume:   38
ISBN:  

9780511754098


ISBN 10:   0511754094
Publication Date:   06 July 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Undefined
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Reviews

'... well written and easy to read, with useful illustrations of important aspects of quantile regression. It is obvious that the author knows the subject inside out, giving an up-to-date, exhaustive account of the subject. ... The book is a valuable contribution to the statistical literature, and a must have for every statistician or econometrician interested in quantile regression methods.' Journal of the Royal Statistical Society 'It is well written and easy to read, with useful ilustrations of important aspects of quantile regression ... a valuable contribution to the statistical literature and is essential for every statistician or econometrician who is interested in quantile regression methods.' Andreas Karlsson, Uppsala University


Author Information

Roger Koenker is McKinley Professor of Economics and Professor of Statistics at the University of Illinois at Urbana-Champaign. From 1976 to 1983 he was a member of the technical staff at Bell Laboratories. He has held visiting positions at The University of Pennsylvania, Charles University, Prague, Nuffield College, Oxford, University College London and Australian National University. He is a Fellow of the Econometric Society.

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