COMPSTAT 2004 - Proceedings in Computational Statistics: 16th Symposium Held in Prague, Czech Republic, 2004 Jaromir Antoch Editor - nuovo libro

EAN (ISBN-13): 9783790815542
ISBN (ISBN-10): 3790815543
Copertina flessibile
Anno di pubblicazione: 2004
Editore: Physica-Verlag HD Core >1 >T

Libro nella banca dati dal 2008-02-12T00:20:34+01:00 (Rome)
Pagina di dettaglio ultima modifica in 2024-02-04T16:33:33+01:00 (Rome)
ISBN/EAN: 3790815543

ISBN - Stili di scrittura alternativi:
3-7908-1554-3, 978-3-7908-1554-2
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Autore del libro : jaromir antoch
Titolo del libro: czech republic, prague, compstat 2006 proceedings computational statistics, 2004

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Dati dell'editore

Autore: Jaromir Antoch
Titolo: COMPSTAT 2004 - Proceedings in Computational Statistics - 16th Symposium Held in Prague, Czech Republic, 2004
Editore: Physica; Physica
580 Pagine
Anno di pubblicazione: 2004-07-30
Heidelberg; DE
Lingua: Inglese
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
Available
XIX, 580 p.

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Informatik; Mathematik; Classification; Clustering; Computational Biostatistics; Computational Statistics; Data Analysis; Data Mining; STATISTICA; computer; statistics; Probability Theory; Mathematical Software; Database Management; Statistics and Computing; Information Storage and Retrieval; Probability and Statistics in Computer Science; Stochastik; Mathematische und statistische Software; Datenbanken; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Mathematik für Informatiker; EA

Invited papers.- The history of COMPSTAT and key-steps of statistical computing during the last 30 years.- Hybrid algorithms for construction of D-efficient designs.- Geometry of learning in in multilayer perceptrons.- Visual data mining for quantized spatial data.- Graphs for representing statistics indexed by nucleotide or amino acid sequences.- Matrix visualization and information mining.- st-apps and EMILeA-stat: Interactive visualizations in descriptive statistics.- The case sensitivity function approach to diagnostic and robust computation: A relaxation strategy.- On the bootstrap methodology for functional data.- A novel approach to parametrization and parameter estimation in linear dynamic systems.- Statistical analysis of handwritten Arabic numerals in a Chinese population.- Methods and algorithms for robust filtering.- Using GO for statistical analyses.- Computational challenges in determining an optimal design for an experiment.- Visualization of parametric carcinogenesis models.- Design aspects of a computer simulation study for assessing uncertainty in human lifetime toxicokinetic models.- Simultaneous inference in risk assessment; a Bayesian perspective.- Interactive biplots for visual modelling.- R: The next generation.- Robust multidimensional scaling.- Improved jackknife variance estimates of bilinear model parameters.- Line mosaic plot: Algorithm and implementation.- Graphical displays of Internet traffic data.- Clustering all three modes of three-mode data: Computational possibilities and problems.- Functional data analysis and mixed effect models.- Using weights with a text proximity matrix.- On canonical analysis of vector time series.- Learning statistics by doing or by describing: The role of software.- Embedding methods and robust statistics fordimension reduction.- A general partition cluster algorithm.- Iterative denoising for cross-corpus discovery.- From data to differential equations.- Simple simulations for robust tests of multiple outliers in regression.- The St@tNet project for teaching statistics.- An automatic thresholding approach to gene expression analysis.- Kernel methods for manifold estimation.- Outlier detection and clustering by partial mixture modeling.- InterDatabase and DandD.- Exploratory visual analysis of graphs in GGobi.- PLS regression and PLS path modeling for multiple table analysis.- 1001 graphics.- Fitting Bradley Terry Models using a multiplicative algorithm.- Modelling multiple time series: Achieving the aims.- Total least squares and errors-in-variables modeling: Bridging the gap between statistics, computational mathematics and engineering.- Author Index.- COMPSTAT 2004 Section Index.
Includes supplementary material: sn.pub/extras