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Statistical Data Analysis Based on the L1-Norm and Related Methods: Statistics for Industry and Technology

Editat de Yadolah Dodge
en Limba Engleză Hardback – 30 iun 2002

This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on the L1-Norm and Related Methods, held in NeuchA tel, Switzerland, from August 4a "9, 2002. The contributions represent a clear evidence to the importance of development of theory, methods and applications related to the statistical data analysis based on the L1-norm.

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Specificații

ISBN-13: 9783764369200
ISBN-10: 3764369205
Pagini: 454
Greutate: 1.03 kg
Editura: Birkhauser
Colecția Birkhauser
Seria Statistics for Industry and Technology

Locul publicării:Basel, Switzerland

Public țintă

Research

Descriere

This volume contains a selection of invited papers, presented to the fourth International Conference on Statistical Data Analysis Based on the L1-Norm and Related Methods, held in Neuchâtel, Switzerland, from August 4–9, 2002. The contributions represent clear evidence to the importance of the development of theory, methods and applications related to the statistical data analysis based on the L1-norm.

Cuprins

Quantile Functions and Spread for Multivariate Distributions.- A New Definition of Multivariate M-quantiles.- A Depth Function and a Scale Curve Based on Spatial Quantiles.- Sample Quantiles for Locally Dependent Processes.- What are the Limiting Distributions of Quantile Estimators?.- New Selection Indices for University Admissions: A Quantile Approach.- Exploring Transition Data Through Quantile Regression Methods: An Application to U.S. Unemployment Duration.- How to be Pessimistic: Choquet Risk and Portfolio Optimization.- Expected Shortfall and Beyond.- Credit Scoring Using Binary Quantile Regression.- Prediction of 0–1-Events for Short- and Long-memory Time Series.- Nonparametric Quantile Regression with Applications to Financial Time Series.- An Algorithm for Optimal Bandwidth Selection for Smooth Nonparametric Quantile Estimation.- Orthogonal L1-norm Estimation.- L1-Derivatives, Score Functions and Tests.- Optimal Bias Robust M-estimates of Regression.- Robust Bootstrap for S-estimators of Multivariate Regression.- M-tests for Detection of Structural Changes in Regression.- Change Point Detection Based on Empirical Quantiles.- A Class of Probability Metrics and its Statistical Applications.- Whose Hare and Whose Tortoise.- Sign and Rank Covariance Matrices: Statistical Properties and Application to Principal Components Analysis.- Multivariate Signed Ranks: Randies’ Interdirections or Tyler’s Angles?.- L1-Depth, Depth Relative to a Model, and Robust Regression.- Perturbation Properties of Depth Regions.- Multivariate Trimmed Means Based on Data Depth.- Graphs, L1-Metrics and Clustering.- Classification Based on the Support Vector Machine and on Regression Depth.- A Robust Clustering Method and Visualization Tool Based On Data Depth.- The Median Extension ofData Analysis Metric Structures.- Text Classification for Mining Massive Aviation Inspection Reports.- A Comparison Between L1 Markov Random Field-Based and Wavelet-Based Estimators.- Elastic and Plastic Splines: Some Experimental Comparisons.- On the Bitplane Compression of Microarray Images.- Overdispersed Regression Models for Air Pollution and Human Health.- Atmospheric Pollution and Mortality in São Paulo.- Contributors.