Overview

"This volume contains six invited papers, 41 contributed papers and two papers which are, formally, software descriptions, but it was agreed by the Program Committee that they should be included in a separate section entitled ""Notes About New Developments in Statistical Software"", due to their special significance for current trends in computational statistics. All contributions are grouped into ten topics: ""Classification; ""Algorithms and Statistical Software""; ""Expert Systems in Statistics""; ""Multivariate Data Analysis and Model Building""; ""Optimization Techniques and Non-linear Models""; ""Computing for Robust Statistics""; ""Statistics and Database Management""; Time-Dependent Models analysis of Spatial Data""; and ""Computational Inference"". The structure and content of these papers are a good indicator of the current interests in computational statistics. As in past years, this 9th COMPSTAT is dominated by multivariate data analysis, expert systems in statistics and algorithms, and statistical software."

Full Product Details

Author:   Konstantin Momirovic ,  Vesna Mildner
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   Softcover reprint of the original 1st ed. 1990
Dimensions:   Width: 17.00cm , Height: 1.80cm , Length: 24.40cm
Weight:   0.615kg
ISBN:  

9783790804751

ISBN 10:   3790804754
Pages:   336
Publication Date:   15 August 1990
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

Classification.- Stochastic Algorithms for Clustering.- A Classification Algorithm for Binary Observations Based on Euclidean Representations of Hypergraphs.- Agglomerative Hierarchical Multicriteria Clustering using Decision Rules.- GLIMTREE:RECPAM Trees with the Generalized Linear Model.- Algorithms and statistical software.- BOJA: A Program for Bootstrap and Jackknife.- Prototyping Dynamic Graphics Functions in S.- Programming Languages for Statistical Computation.- Expert systems in statistics.- Statistical Knowledge-Based Systems — Critical Remarks and Requirements for Approval.- New Approach To GUHA-Method from the Reliability Viewpoint.- Classifying Documents: A Discriminant Analysis and an Expert System Work Together.- Estimation Procedures for Language Context: Poor Estimates are Worse than None.- Knowledge Modelling for Statistical Consultation Systems; Two Empirical Studies.- An Expert System Strategy for Selecting Interesting Results.- Computer Assisted Interpretation of Conditional Independence Graphs.- WAMASTEX — Heuristic Guidance for Statistical Analysis.- Multivariate data analysis and model building.- On Model Search Methods.- Principal Components Analysis with Respect to Instrumental Variables via Univariate Splines.- Selecting the Best Subset of Variables in Principal Component Analysis.- Interesting Projections of Multidimensional Data by Means of Generalized Principal Component Analyses.- Maximum Likelihood Estimation of Mixed Linear and Multiplicative Models for Contingency Tables Using Distan.- Alternate Forms of Graphical Modelling — A Comparison.- Exact Significance Testing by the Method of Control Variates.- Testing Collapsibility of Hierarchical Loglinear Models for Contingency Tables.- The Generalised Biplot: Software Potential.-Exploratory Approach and Maximum Likelihood Estimation of Models for Non Symmetrical Analysis of Two-Way Multiple Contingency Tables.- An Orthogonal Procrustes Rotation Procedure for Multiple Correspondence Analysis.- Optimization techniques and nonlinear models.- Optimization in Statistics — Recent Trends.- Fitting Non Linear Models with Two Components of Error.- Computing for robust statistics.- Some Proposals for Fast HBD Regression.- Robust Selection of Variables in the Discriminant Analysis Based on MVE and MCD Estimators.- Interactively Computing Robust Covariance Matrices.- Sensitivity Analysis in Factor Analysis: Methods and Software.- Influence Functions of Eigenvalues and Eigenvectors in Multidimensional Data Analysis.- Algorithms for Non-Linear Huber Estimation.- Statistics and database management.- Co-Operative Processing — A Challenge for Statistics and Database Management.- A Structured Language for Modelling Statistical Data.- Time dependent models.- Spectral Analysis of Non-Stationary Time Series.- ARMA Simulator for Testing Methods of Process Diagnostic.- Statistical Inference in an Extremal Markovian Model.- Interpretation of Spectral Estimation Results for Nonstationary Signals.- An Automated Method for Trend Analysis.- Analysis of spatial data.- A Test of Spatial Isotropy.- Computational inference.- Characteristics of Sequential Sampling Plans for Attributes: Algorithms for Exact Computing.- Exact Experimental Designs via Stochastic Optimization for Nonlinear Regression Models.- A Comparison of Algorithms for Combination of Information in Generally Balanced Designs.- A Comparison of Non-Negative Estimators for Ratios of Variance Components.- Optimal Fit in Non-Parametric Modelling via Computationally Intensive Inference.- Notes about newdevelopments in statistical software.- Statistical Models in S.- GLIM4 — Developments in Model Fitting.- Address list of authors.

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