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Titlebook: Robust Statistics, Data Analysis, and Computer Intensive Methods; In Honor of Peter Hu Helmut Rieder Book 1996 Springer-Verlag New York, In

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书目名称Robust Statistics, Data Analysis, and Computer Intensive Methods
副标题In Honor of Peter Hu
编辑Helmut Rieder
视频video
丛书名称Lecture Notes in Statistics
图书封面Titlebook: Robust Statistics, Data Analysis, and Computer Intensive Methods; In Honor of Peter Hu Helmut Rieder Book 1996 Springer-Verlag New York, In
描述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 sta
出版日期Book 1996
关键词Clustering; Estimator; Logistic Regression; STATISTICA; best fit; data analysis; statistics
版次1
doihttps://doi.org/10.1007/978-1-4612-2380-1
isbn_softcover978-0-387-94660-3
isbn_ebook978-1-4612-2380-1Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer-Verlag New York, Inc. 1996
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M-Estimation and Spatial Quantiles,An extension of quantile function (M-quantiles) related in a certain sense to M-parameters of probability distribution defined by convex minimization is considered. Asymtotics of empirical M-quantiles are studied.
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What Criterion for a Power Algorithm?,obvious guess turns out to be wrong. The problem is that the building blocks are no longer orthogonal projections in the usual inner product. We describe the non-standard inner product that does yield orthogonal projections, and we indicate what the resulting “penalized . .”-criterion is.
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,On the Philosophical Foundations of Statistics: Bridges to Huber’s work, and recent results,and lower probabilities and the concept of “successful bets”, the talk discusses some very recent research results with more general implications: Successful bets for the normal and the exponential shift model, asymptotically successful bets, and a sketch for approximately successful bets in the context of robust statistics.
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Robust Statistics, Data Analysis, and Computer Intensive Methods978-1-4612-2380-1Series ISSN 0930-0325 Series E-ISSN 2197-7186
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