Raymond J. Carroll, David Ruppert, Leonard A. Stefanski

Measurement Error in Nonlinear Models

• Broschiertes Buch

Produktdetails

• Monographs on Statistics and Applied Probability Vol.63
• Verlag: Springer / Springer Netherlands / Springer US
• Softcover reprint of the original 1st ed. 1995
• Seitenzahl: 305
• Englisch
• Abmessung: 216mm x 140mm
• Gewicht: 423g
• ISBN-13: 9780412047213
• ISBN-10: 0412047217
• Artikelnr.: 34154891

Autorenporträt

David Ruppert is Andrew Schultz, Jr., Professor of Engineering and Professor of Statistical Science, School of Operations Research and Information Engineering, Cornell University, where he teaches statistics and financial engineering and is a member of the Program in Financial Engineering. His research areas include asymptotic theory, semiparametric regression, functional data analysis, biostatistics, model calibration, measurement error, and astrostatistics. Professor Ruppert received his PhD in Statistics at Michigan State University. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics and won the Wilcoxon prize. He is Editor of the Electronic Journal of Statistics , former Editor of the Institute of Mathematical Statistics' Lecture Notes Monographs Series , and former Associate Editor of several major statistics journals. Professor Ruppert has published over 100 scientific papers and several books.