Empirical Processes in M-Estimation

Discover the intricacies of statistical estimation with Empirical Processes in M-Estimation by Sara A. van de Geer. Published by Cambridge University Press in 2009, this comprehensive paperback spans 300 pages and offers a unified approach to various estimation methods in statistics.

Delve into a wealth of illustrative examples, including the Grenander estimator, smoothing splines, partially linear models, mixture models, and image analysis. This book is an essential resource for graduate students and professionals seeking to deepen their understanding of estimation theory. Enhance your statistical toolkit with this insightful and informative text that bridges theory and application.

Whether you are a student embarking on your statistical journey or a seasoned professional, Empirical Processes in M-Estimation is a must-have addition to your library.