COMPSTAT Proceedings in Computational Statistics 12th Symposium held in Barcelona, Spain, 1996 / edited by Albert Prat.

COMPSTAT symposia have been held regularly since 1974 when they started in Vienna. This tradition has made COMPSTAT a major forum for the interplay of statistics and computer sciences with contributions from many well known scientists all over the world. The scientific programme of COMPSTAT '96...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Prat, Albert (Editor)
Format: eBook
Language:English
Published: Heidelberg : Physica-Verlag HD : Imprint: Physica, 1996.
Edition:1st ed. 1996.
Series:Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • I Keynote Papers
  • Scientific Statistics, Teaching, Learning and the Computer
  • Trends in the Information Technologies Markets — The Future
  • II Invited Papers
  • Robust Procedures for Regression Models with ARIMA Errors
  • Functional Imaging Analysis Software-Computational Olio
  • Automatic Modelling of Daily Series of Economic Activity
  • New Methods for Quantitative Analysis of Short-Term Economic Activity
  • Classification and Computers: Shifting the Focus
  • Image Processing, Markov Chain Approach
  • A Study of E-optimal Designs for Polynominal Regression
  • From Fourier to Wavelet Analysis of Time Series
  • Profile Methods
  • A New Generation of a Statistical Computing Environment on the Net
  • On Multidimensional Nonparametric Regression
  • III Contributed Papers
  • Parallel Model Selection in Logistic Regression Analysis
  • On a Weighted Principal Component Model to Forecast a Continuous Time Series
  • Exact Iterative Computation of the Multivariate Minimum Volume Ellipsoid Estimator with a Branch and Bound Algorithm
  • Automatic Segmentation by Decision Trees
  • Karhunen-Loève and Wavelet Approximations to the Inverse Problem
  • Bootstrapping Uncertainty in Image Analysis
  • BASS: Bayesian Analyzer of Event Sequences
  • Assessing Sample Variability in the Visualization Techniques Related to Principal Component Analysis: Bootstrap and Alternative Simulation Methods
  • A Fast Algorithm for Robust Principal Components Based on Projection Pursuit
  • Hybrid System: Neural Networks and Genetic Algorithms Applied in Nonlinear Regression and Time Series Forecasting
  • Do Parametric Yield Estimates Beat Monte Carlo?
  • Testing Convexity
  • Zonoid Data Depth: Theory and Computation
  • PADOX, A Personal Assistant for Experimental Design
  • Computing M-estimates
  • Survival Analysis with Measurement Error on Covariates
  • Partial Imputation Method in the EM Algorithm
  • On the Uses and Costs of Rule-Based Classification
  • Small Sequential Designs that Stay Close to a Target
  • Statistical Classification Methods for Protein Fold Class Prediction
  • Restoration of Blurred Images when Blur is Incompletely Specified
  • Loglinear Random Effect Models for Capture-Recapture Assessment of Completeness of Registration
  • Estimation of First Contact Distribution Functions for Spatial Patterns in S-PLUS
  • Barcharts and Class Characterization with Taxonomic Qualitative Variables
  • Prediction of Failure Events when No Failures have Occurred
  • Generalising Regression and Discriminant Analysis: Catastrophe Models for Plasma Confinement and Threshold Data
  • Parallel Strategies for Estimating the Parameters of a Modified Regression Model on a SIMD Array Processor
  • Stochastic Algorithms in Estimating Regression Models
  • Generalized Nonlinear Models
  • The Use of Statistical Methods for Operational and Strategic Forecasting in European Industry
  • Bayesian Analysis for Likelihood-Based Nonparametric Regression
  • Calculating the Exact Characteristics of Truncated Sequential Probability Ratio Tests Using Mathematica
  • How to Find Suitable Parametric Models Using Genetic Algorithms. Application to Feedforward Neural Networks
  • Some Computational Aspects of Exact Maximum Likelihood Estimation of Time Series Models
  • Estimation After Model Building: A First Step
  • Logistic Classification Trees
  • Computing High Breakdown Point Estimators for Planned Experiments and for Models with Qualitative Factors
  • Posterior Simulation for Feed Forward Neural Network Models
  • Bivariate Survival Data Under Censoring: Simulation Procedure for Group Sequential Boundaries
  • The Wavelet Transform in Multivariate Data Analysis
  • “Replication-free” Optimal Designs in Regression Analysis
  • STEPS Towards Statistics
  • File Grafting: a Data Sets Communication Tool
  • Projections on Convex Cones with Applications in Statistics
  • Partial Correlation Coefficient Comparison in Graphical Gaussian Models 429
  • The Robustness of Cross-over Designs to Error Mis-specification
  • ISODEPTH: a Program for Depth Contours
  • Non Parametric Control Charts for Sequential Process
  • An Iterative Projection Algorithm and Some Simulation Results
  • Computational Asymptotics
  • An Algorithm for Detecting the Number of Knots in Non Linear Principal Component Analysis
  • Generation and Investigation of Multivariate Distributions Having Fixed Discrete Marginals
  • A Simulation Framework for Re-estimation of Parameters in a Population Model for Application to a Particular Locality
  • A Semi-Fuzzy Partition Algorithm
  • Estimation in Two — Sample Nonproportional Hazards Models in Clinical Trials by an Algorithmic Method
  • How to Obtain Efficient Exact Designs from Optimal Approximate Designs
  • Papers Classified by Topics.