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Robust Statistics, Data Analysis, and Computer Intensive Methods: In Honor of Peter Huber’s 60th Birthday: Lecture Notes in Statistics, cartea 109

Editat de Helmut Rieder
en Limba Engleză Paperback – 22 dec 1995
To celebrate Peter Huber's 60th birthday in 1994, our university had invited for a festive occasion in the afternoon of Thursday, June 9. The invitation to honour this outstanding personality was followed by about fifty colleagues and former students from, mainly, allover the world. Others, who could not attend, sent their congratulations by mail and e-mail (P. Bickel:" ... It's hard to imagine that Peter turned 60 ... "). After a welcome address by Adalbert Kerber (dean), the following lectures were delivered. Volker Strassen (Konstanz): Almost Sure Primes and Cryptography -an Introduction Frank Hampel (Zurich): On the Philosophical Foundations of Statistics 1 Andreas Buja (Murray Hill): Projections and Sections­ High-Dimensional Graphics for Data Analysis. The distinguished speakers lauded Peter Huber a hard and fair mathematician, a cooperative and stimulating colleague, and an inspiring and helpful teacher. The Festkolloquium was surrounded with a musical program by the Univer­ 2 sity's Brass Ensemble. The subsequent Workshop "Robust Statistics, Data Analysis and Computer Intensive Methods" in Schloss Thurnau, Friday until Sunday, June 9-12, was organized about the areas in statistics that Peter Huber himself has markedly shaped. In the time since the conference, most of the contributions could be edited for this volume-a late birthday present-that may give a new impetus to further research in these fields.
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Specificații

ISBN-13: 9780387946603
ISBN-10: 0387946608
Pagini: 427
Ilustrații: 427 p. 9 illus.
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.63 kg
Ediția:Softcover reprint of the original 1st ed. 1996
Editura: Springer
Colecția Springer
Seria Lecture Notes in Statistics

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

Bootstrap Variable-Selection and Confidence Sets.- Robust Estimation in the Logistic Regression Model.- The m out of n Bootstrap and Goodness of Fit Tests with Double Censored Data.- What Criterion for a Power Algorithm?.- Nonparametric Estimation of Global Functionals of Conditional Quantiles.- High Breakdown Point Estimators in Logistic Regression.- The Guinea Pig of Multiple Regression.- When is a p-Value a Good Measure of Evidence?.- Geometric Properties of Principal Curves in the Plane.- On Robust Estimation of Variograms in Geostatistics.- Advances in Nonparametric Function Estimation.- On the Philosophical Foundations of Statistics: Bridges to Huber’s work, and recent results.- Data Based Prototyping.- Robust Regression with a Categorical Covariable.- Robustness in Discriminant Analysis.- M-Estimation and Spatial Quantites.- Robust Statistical Methods in Interlab oratory Analytical Studies.- Estimating Distributions with a Fixed Number of Modes.- Implementing M -Estimators of the Gamma distribution.- Constrained M -Estimation for Regression.- Inference for the Direction of the Larger of Two Eigenvectors: The Case of Circular Elongation.- High Breakdown Point Designs.- On Bayesian Robustness: An Asymptotic Approach.- Computational Aspects of Trimmed Single-Link Clustering.- Interval Probability on Finite Sample Spaces.- On Consistency of Recursive Multivariate M-Estimators in Linear Models.- List of Participants.