Compstat 2006 - proceedings in computational statistics : 17th symposium held in Rome, Italy, 2006
International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section of the International Statistical Institute. The objectives of the Association are to foster world-wide interest in e?ective statistical computing and to - change technical...
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| Tác giả khác: | , |
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
Heidelberg :
Physica-Verlag HD
[20..].
Cham : Springer Nature |
| Những chủ đề: | |
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
Description d'après consultation du 15 mars 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Variante du titre: | Compstat 2006 ERS-IASC 2006 |
| Edition sous un autre format: | • Compstat 2006 - proceedings in computational statistics, 17th symposium held in Rome, Italy, 2006, edited by Alfredo Rizzi, Maurizio Vichi, Heidelberg, Physica-Verlag Heidelberg, Springer, 2006, 2 volumes (xxv-537, xxvi-348 pages), 978-3-7908-1708-9 |
Mục lục:
- 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 Discrete functional 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