COMPSTAT
Physica (Verlag)
978-3-7908-0953-4 (ISBN)
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 withMeasurement 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.
| Erscheint lt. Verlag | 31.7.1996 |
|---|---|
| Zusatzinfo | XII, 507 p. |
| Verlagsort | Heidelberg |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 782 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra | |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Schlagworte | bayesian models • Bayessche Methoden • classification • Data Analysis • expectation–maximization algorithm • Expectation-Maximization algorithm • Image Analysis • Klassifikation • likelihood • Lineare Modelle • linear models • Mathematica • Regression Analysis • Statistics • Statistik • Survival Analysis • Time Series • Zeitreihen |
| ISBN-10 | 3-7908-0953-5 / 3790809535 |
| ISBN-13 | 978-3-7908-0953-4 / 9783790809534 |
| Zustand | Neuware |
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