COMPSTAT 2004 — Proceedings in Computational Statistics

Antoch, Jaromir

COMPSTAT 2004 — Proceedings in Computational Statistics

Edited by Jaromir Antoch ()

in Springer Books from Springer

Date: 2004
ISBN: 978-3-7908-2656-2
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Chapters in this book:

The History of Compstat and Key- Steps of Statistical Computing During the Last 30 Years: Wilfried Grossmann, Michael G. Schimek and Peter Paul Sint
Hybrid Algorithms for Construction of D-Efficient Designs: Abdul Aziz Ali and Magnus Jansson
Geometry of Learning in Multilayer Perceptrons: Shun-ichi Amari, Hyeyoung Park and Tomoko Ozeki
Visual Data Mining for Quantized Spatial Data: Amy Braverman and Brian Kahn
Graphs for Representing Statistics Indexed by Nucleotide or Amino Acid Sequences: Daniel B. Carr and Myong-Hee Sung
Matrix Visualization and Information Mining: Chun-Houh Chen, Hai-Gwo Hwu, Wen-Jung Jang, Chiun-How Kao, Yin-Jing Tien, ShengLi Tzeng and Han-Ming Wu
st-apps and Emilea-Stat: Interactive Visualizations in Descriptive Statistics: Katharina Cramer, Udo Kamps and Christian Zuckschwerdt
The Case Sensitivity Function Approach to Diagnostic and Robust Computation: A Relaxation Strategy: Frank Critchley, Michael Schyns, Gentiane Haesbroeck, David Kinns, Richard A. Atkinson and Guobing Lu
On the Bootstrap Methodology for Functional Data: Antonio Cuevas and Ricardo Fraiman
A Novel Approach to Parametrization and Parameter Estimation in Linear Dynamic Systems: Manfred Deistler, Thomas Ribarits and Bernard Hanzon
Statistical Analysis of Handwritten Arabic Numerals in a Chinese Population: Wing K. Fung, C. T. Yang, C. K. Li and N. L. Poon
Methods and Algorithms for Robust Filtering: Ursula Gather and Roland Fried
Using Go for Statistical Analyses: Robert Gentleman
Computational Challenges in Determining an Optimal Design for an Experiment: Subir Ghosh
Visualization of Parametric Carcinogenesis Models: Jutta Groos and Annette Kopp-Schneider
Design Aspects of a Computer Simulation Study for Assessing Uncertainty in Human Lifetime Toxicokinetic Models: Harald Heinzl and Martina Mittlboeck
Simultaneous Inference in Risk Assessment; a Bayesian Perspective: Leonhard Held
Interactive Biplots for Visual Modelling: Heike Hofmann
R: The Next Generation: Kurt Hornik
Robust Multidimensional Scaling: Leanna L. House and David Banks
Improved Jackknife Variance Estimates of Bilinear Model Parameters: Martin Høy, Frank Westad and Harald Martens
Line Mosaic Plot: Algorithm and Implementation: Moon Yul Huh
Graphical Displays of Internet Traffic Data: Karen Kafadar and Edward J. Wegman
Clustering All Three Modes of Three-Mode Data: Computational Possibilities and Problems: Henk A. L. Kiers
Functional Data Analysis and Mixed Effect Models: Alois Kneip, Robin Sickles and Wonho Song
Using Weights with a Text Proximity Matrix: Angel R. Martinez, Edward J. Wegman and Wendy L. Martinez
On Canonical Analysis of Vector Time Series: Wanli Min and Ruey S. Tsay
Learning Statistics by Doing or by Describing: The Role of Software: Erich Neuwirth
Embedding Methods and Robust Statistics for Dimension Reduction: George Ostrouchov and Nagiza F. Samatova
A General Partition Cluster Algorithm: Daniel Peña, Julio Rodríguez and George C. Tiao
Iterative Denoising for Cross-Corpus Discovery: Carey E. Priebe, David J. Marchette, Youngser Park, Edward J. Wegman, Jeffrey L. Solka, Diego A. Socolinsky, Damianos Karakos, Ken W. Church, Roland Guglielmi, Ronald R. Coifman, Dekang Lin, Dennis M. Healy, Marc Q. Jacobs and Anna Tsao
From Data to Differential Equations: Jim O. Ramsay
Simple Simulations for Robust Tests of Multiple Outliers in Regression: Marco Riani and Anthony Atkinson
The St@Tnet Project for Teaching Statistics: Gilbert Saporta and Marc Bourdeau
An Automatic Thresholding Approach to Gene Expression Analysis: Michael G. Schimek and Wolfgang Schmidt
Kernel Methods for Manifold Estimation: Bernhard Schölkopf
Outlier Detection and Clustering by Partial Mixture Modeling: David W. Scott
Interdatabase and DandD: Ritei Shibata
Exploratory Visual Analysis of Graphs in GGOBI: Deborah F. Swayne and Andreas Buja
PLS Regression and PLS Path Modeling for Multiple Table Analysis: Michel Tenenhaus
1001 Graphics: Martin Theus
Fitting Bradley Terry Models Using a Multiplicative Algorithm: Ben Torsney
Modelling Multiple Time Series: Achieving the Aims: Granville Tunnicliffe-Wilson and Alex Morton
Total Least Squares and Errors- In-Variables Modeling: Bridging the Gap Between Statistics, Computational Mathematics and Engineering: Sabine Van Huffel

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DOI: 10.1007/978-3-7908-2656-2

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