Ebook: COMPSTAT 2004 — Proceedings in Computational Statistics: 16th Symposium Held in Prague, Czech Republic, 2004
- Tags: Statistics and Computing/Statistics Programs, Information Storage and Retrieval, Probability and Statistics in Computer Science, Statistics for Life Sciences Medicine Health Sciences
- Year: 2004
- Publisher: Physica-Verlag Heidelberg
- Edition: 1
- Language: English
- pdf
Statistical computing provides the link between statistical theory and applied statistics. As at previous COMPSTAT volumes, the content of the book covers all aspects of this link, from the development and implementation of new statistical ideas to user experiences and software evaluation. The proceedings should appeal to anyone working in statistics and using computers, whether in universities, industrial companies, government agencies, research institutes or as software developers.
Statistical computing provides the link between statistical theory and applied statistics. As at previous COMPSTAT volumes, the content of the book covers all aspects of this link, from the development and implementation of new statistical ideas to user experiences and software evaluation. The proceedings should appeal to anyone working in statistics and using computers, whether in universities, industrial companies, government agencies, research institutes or as software developers.
Statistical computing provides the link between statistical theory and applied statistics. As at previous COMPSTAT volumes, the content of the book covers all aspects of this link, from the development and implementation of new statistical ideas to user experiences and software evaluation. The proceedings should appeal to anyone working in statistics and using computers, whether in universities, industrial companies, government agencies, research institutes or as software developers.
Content:
Front Matter....Pages i-xix
The History Of Compstat And Key- Steps Of Statistical Computing During The Last 30 Years....Pages 1-35
Hybrid Algorithms For Construction Of D-Efficient Designs....Pages 37-48
Geometry of Learning in Multilayer Perceptrons....Pages 49-60
Visual Data Mining for Quantized Spatial Data....Pages 61-72
Graphs for Representing Statistics Indexed by Nucleotide or Amino Acid Sequences....Pages 73-83
Matrix Visualization and Information Mining....Pages 85-100
st-apps and Emilea-Stat: Interactive Visualizations In Descriptive Statistics....Pages 101-112
The Case Sensitivity Function Approach to Diagnostic and Robust Computation: A Relaxation Strategy....Pages 113-125
On The Bootstrap Methodology for Functional Data....Pages 127-135
A Novel Approach To Parametrization and Parameter Estimation In Linear Dynamic Systems....Pages 137-147
Statistical Analysis of Handwritten Arabic Numerals in A Chinese Population....Pages 149-158
Methods and Algorithms for Robust Filtering....Pages 159-170
Using Go for Statistical Analyses....Pages 171-180
Computational Challenges In Determining An Optimal Design For An Experiment....Pages 181-188
Visualization Of Parametric Carcinogenesis Models....Pages 189-197
Design Aspects Of A Computer Simulation Study For Assessing Uncertainty In Human Lifetime Toxicokinetic Models....Pages 199-211
Simultaneous Inference In Risk Assessment; A Bayesian Perspective....Pages 213-222
Interactive Biplots For Visual Modelling....Pages 223-234
R: The Next Generation....Pages 235-249
Robust Multidimensional Scaling....Pages 251-259
Improved Jackknife Variance Estimates Of Bilinear Model Parameters....Pages 261-275
Line Mosaic Plot: Algorithm And Implementation....Pages 277-285
Graphical Displays Of Internet Traffic Data....Pages 287-301
Clustering All Three Modes Of Three-Mode Data: Computational Possibilities And Problems....Pages 303-313
Functional Data Analysis And Mixed Effect Models....Pages 315-326
Using Weights With A Text Proximity Matrix....Pages 327-337
On Canonical Analysis Of Vector Time Series....Pages 339-350
Learning Statistics By Doing Or By Describing: The Role Of Software....Pages 351-358
Embedding Methods And Robust Statistics For Dimension Reduction....Pages 359-370
A General Partition Cluster Algorithm....Pages 371-379
Iterative Denoising For Cross-Corpus Discovery....Pages 381-392
From Data To Differential Equations....Pages 393-404
Simple Simulations For Robust Tests Of Multiple Outliers In Regression....Pages 405-416
The St@Tnet Project For Teaching Statistics....Pages 417-428
An Automatic Thresholding Approach To Gene Expression Analysis....Pages 429-440
Kernel Methods For Manifold Estimation....Pages 441-452
Outlier Detection And Clustering By Partial Mixture Modeling....Pages 453-464
Interdatabase And Dandd....Pages 465-475
Exploratory Visual Analysis Of Graphs In Ggobi....Pages 477-488
Pls Regression And Pls Path Modeling For Multiple Table Analysis....Pages 489-499
1001 Graphics....Pages 501-512
Fitting Bradley Terry Models Using A Multiplicative Algorithm....Pages 513-526
Modelling Multiple Time Series: Achieving The Aims....Pages 527-538
Total Least Squares And Errors- In-Variables Modeling: Bridging The Gap Between Statistics, Computational Mathematics And Engineering....Pages 539-555
Back Matter....Pages 557-580
Statistical computing provides the link between statistical theory and applied statistics. As at previous COMPSTAT volumes, the content of the book covers all aspects of this link, from the development and implementation of new statistical ideas to user experiences and software evaluation. The proceedings should appeal to anyone working in statistics and using computers, whether in universities, industrial companies, government agencies, research institutes or as software developers.
Content:
Front Matter....Pages i-xix
The History Of Compstat And Key- Steps Of Statistical Computing During The Last 30 Years....Pages 1-35
Hybrid Algorithms For Construction Of D-Efficient Designs....Pages 37-48
Geometry of Learning in Multilayer Perceptrons....Pages 49-60
Visual Data Mining for Quantized Spatial Data....Pages 61-72
Graphs for Representing Statistics Indexed by Nucleotide or Amino Acid Sequences....Pages 73-83
Matrix Visualization and Information Mining....Pages 85-100
st-apps and Emilea-Stat: Interactive Visualizations In Descriptive Statistics....Pages 101-112
The Case Sensitivity Function Approach to Diagnostic and Robust Computation: A Relaxation Strategy....Pages 113-125
On The Bootstrap Methodology for Functional Data....Pages 127-135
A Novel Approach To Parametrization and Parameter Estimation In Linear Dynamic Systems....Pages 137-147
Statistical Analysis of Handwritten Arabic Numerals in A Chinese Population....Pages 149-158
Methods and Algorithms for Robust Filtering....Pages 159-170
Using Go for Statistical Analyses....Pages 171-180
Computational Challenges In Determining An Optimal Design For An Experiment....Pages 181-188
Visualization Of Parametric Carcinogenesis Models....Pages 189-197
Design Aspects Of A Computer Simulation Study For Assessing Uncertainty In Human Lifetime Toxicokinetic Models....Pages 199-211
Simultaneous Inference In Risk Assessment; A Bayesian Perspective....Pages 213-222
Interactive Biplots For Visual Modelling....Pages 223-234
R: The Next Generation....Pages 235-249
Robust Multidimensional Scaling....Pages 251-259
Improved Jackknife Variance Estimates Of Bilinear Model Parameters....Pages 261-275
Line Mosaic Plot: Algorithm And Implementation....Pages 277-285
Graphical Displays Of Internet Traffic Data....Pages 287-301
Clustering All Three Modes Of Three-Mode Data: Computational Possibilities And Problems....Pages 303-313
Functional Data Analysis And Mixed Effect Models....Pages 315-326
Using Weights With A Text Proximity Matrix....Pages 327-337
On Canonical Analysis Of Vector Time Series....Pages 339-350
Learning Statistics By Doing Or By Describing: The Role Of Software....Pages 351-358
Embedding Methods And Robust Statistics For Dimension Reduction....Pages 359-370
A General Partition Cluster Algorithm....Pages 371-379
Iterative Denoising For Cross-Corpus Discovery....Pages 381-392
From Data To Differential Equations....Pages 393-404
Simple Simulations For Robust Tests Of Multiple Outliers In Regression....Pages 405-416
The St@Tnet Project For Teaching Statistics....Pages 417-428
An Automatic Thresholding Approach To Gene Expression Analysis....Pages 429-440
Kernel Methods For Manifold Estimation....Pages 441-452
Outlier Detection And Clustering By Partial Mixture Modeling....Pages 453-464
Interdatabase And Dandd....Pages 465-475
Exploratory Visual Analysis Of Graphs In Ggobi....Pages 477-488
Pls Regression And Pls Path Modeling For Multiple Table Analysis....Pages 489-499
1001 Graphics....Pages 501-512
Fitting Bradley Terry Models Using A Multiplicative Algorithm....Pages 513-526
Modelling Multiple Time Series: Achieving The Aims....Pages 527-538
Total Least Squares And Errors- In-Variables Modeling: Bridging The Gap Between Statistics, Computational Mathematics And Engineering....Pages 539-555
Back Matter....Pages 557-580
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