COMPSTAT 2006 - Proceedings in Computational Statistics
Physica (Verlag)
978-3-7908-1708-9 (ISBN)
Classification and Clustering.- Issues of robustness and high dimensionality in cluster analysis.- Fuzzy K-medoids clustering models for fuzzy multivariate time trajectories.- Bootstrap methods for measuring classification uncertainty in latent class analysis.- A robust linear grouping algorithm.- Computing and using the deviance with classification trees.- Estimation procedures for the false discovery rate: a systematic comparison for microarray data.- A unifying model for biclustering.- Image Analysis and Signal Processing.- Non-rigid image registration using mutual information.- Musical audio analysis using sparse representations.- Robust correspondence recognition for computer vision.- Blind superresolution.- Analysis of Music Time Series.- Data Visualization.- Tying up the loose ends in simple, multiple, joint correspondence analysis.- 3 dimensional parallel coordinates plot and its use for variable selection.- Geospatial distribution of alcohol-related violence in Northern Virginia.- Visualization in comparative music research.- Exploratory modelling analysis: visualizing the value of variables.- Density estimation from streaming data using wavelets.- Multivariate Analysis.- Reducing conservatism of exact small-sample methods of inference for discrete data.- Symbolic data analysis: what is it?.- A dimensional reduction method for ordinal three-way contingency table.- Operator related to a data matrix: a survey.- Factor interval data analysis and its application.- Identifying excessively rounded or truncated data.- Statistical inference and data mining: false discoveries control.- Is 'Which model . . .?' the right question?.- Use of latent class regression models with a random intercept to remove the effects of the overall response rating level.- Discretefunctional data analysis.- Self organizing MAPS: understanding, measuring and reducing variability.- Parameterization and estimation of path models for categorical data.- Latent class model with two latent variables for analysis of count data.- Web Based Teaching.- Challenges concerning web data mining.- e-Learning statistics - a selective review.- Quality assurance of web based e-Learning for statistical education.- Algorithms.- Genetic algorithms for building double threshold generalized autoregressive conditional heteroscedastic models of time series.- Nonparametric evaluation of matching noise.- Subset selection algorithm based on mutual information.- Visiting near-optimal solutions using local search algorithms.- The convergence of optimization based GARCH estimators: theory and application.- The stochastics of threshold accepting: analysis of an application to the uniform design problem.- Robustness.- Robust classification with categorical variables.- Multiple group linear discriminant analysis: robustness and error rate.
Erscheint lt. Verlag | 3.8.2006 |
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Zusatzinfo | XXV, 537 p. With CD-ROM. |
Verlagsort | Heidelberg |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
Schlagworte | classification • cluster analysis • Clustering • Computational Statistics • Data Analysis • Data Mining • Estimator • Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathem • HC/Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik • Image Analysis • Latent Class Analysis • linear discriminant analysis • parametric statistics • resampling • Statistical Data Analysis • Statistical Multivariate Methods • statistical software • Statistics • Time Series • Truncated Data |
ISBN-10 | 3-7908-1708-2 / 3790817082 |
ISBN-13 | 978-3-7908-1708-9 / 9783790817089 |
Zustand | Neuware |
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