When dealing with the design or with the application of any technical system, which is not quite simple and trivial, one has to face to the problem to determine the allowable de viations of the system functions and the optimal vector of system parameter tolerances. The need for the solution of this problem is stimulated with various serious economic and maite nance aspects, between them the tendency to reach the minimal production cost, the maximal system operation reliability are the most frequent. Suppose that we are dealing with an system S, consisting of N components represented by the system parame ters xi' i = 1, 2 . . . N, which are arranged in certain structu re so, that the K, system functions F k' k = 1, 2 . . . IG , expres sing the considered system properties, fullfil the condition F-FO~ AF, /1/ 'Ihere F = l F k} Ie is the set of the actual system functions, FO = lFOk}~ is the set of the nominal system functions and A F = l A F k 1(;. } is the set 0 f the a 11 0 w a b 1 e s emf y s t u n c ion t s de viations. The set F depends besides the system structure also on the vector X = [Xi}N of the system parameters. Suppose, that the system structure is invariant.
1. Information Science and Statistics.- Information Science and Statistics.- Catastrophe Theory as a Tool for Statistical Analysis of Systems.- New Procedures for Generating Optimal Experimental Designs.- 2. Probabilistic Models in Exploratory Data Analysis.- Some Guidelines for Principal Component Analysis.- Comparison of Least Squares with Least Absolute Deviation Forecasting Using Simulation Techniques.- Modeling the Reliability of Fault-Tolerant Software Systems.- Computerized Exploratory Screening of Large-Dimensional Contingency Tables.- A Fast Algorithm for Some Exploratory Methods in Categorical Data Problems.- Easy to Generate Metrics for Use with Sampled Functions.- 3. Computational Approach of Inference.- Sequential Inference Processes in Computational Aspects.- Variance Components as a Method for Routine Regression Analysis of Survey Data.- On the Assessment of Case Influence in Generalized Linear Models.- 4. Numerical Aspects of Statistical Computations.- Algoritmic Development in Variable Selection Procedures.- Linear Models of Categorical Variables.- A Fast Algorithm for Curve Fitting.- Generalized Multiplicative Models.- A Convenient Way of Computing ML-Estimates: Use of Automatic Differentiation.- On the Numerical Solutions of Bounded Influence Regression Problems.- Testing of Statistical Algorithms and Programs with the Help of the Multivariate Sample, Having Described Values of Empirical Parameters.- 5. Three-Mode Data Matrices.- Analysis of Three-Way Data Matrices Based on Pairwise Relation Measures.- Factor Analysis of Evolution and Cluster Methods on Trajectories.- 6. Cluster Analysis Methods and Algorithms.- Links Between Clustering and Assignment Procedures.- Identification of Linear Regression Models by a Clustering Algorithm.- Validity Tests in Cluster Analysis Using a Probabilistic Teacher Algorithm.- New Kinds of Graphical Representation in Clustering.- Projection of an Acute Symmetrical Simplicial Closed Convex Cone and its Application to Star Graphs.- Design of a Command Language for Interactive or Batch Use in a Statistical Package.- Cross Association Measures and Optimal Clustering.- 7. Robustness in Multivariate Analysis.- Multivariate Data Analysis, Contributions and Shortcomings of Robustness in Practice.- On the Use of Bootstrap and Jackknife in Covariance Structure Analysis.- On a Class of Robust Methods for Multivariate Data Analysis.- Robust Recursive Estimation and Detection of Shifts in Regression.- How Robust is One Way Anova with Respect to within Group Correlation.- Algorithms for the Beta Distribution Function.- 8. Computer Graphics and Data Presentation.- An Interactive Graphic System for Designing and Accessing Statistical Data Bases.- Non-Standard Graphical Presentation.- Computer Graphics and Data Presentation, a First Step Toward a Cognitive and Ergonomic Analysis.- 9. Expert Systems.- Expert Systems and Data Analysis Package Management.- Developing Intelligent Software for Non-Linear Model Fitting as an Expert System.- Express - An Expert System Utilizing Standard Statistical Packages.- Muse: An Expert System in Statistics.- Building Expert Systems with the Help of Existing Statistical Software: An Example.- Statistical Data Validation and Expert Systems.- Knowledge Base Supported Analysis of Longitudinal Data.- How to Assist an Inexperienced User in the Preliminary Analysis of Time Series: First Version of the Estes Expert System.- Object-Oriented Data Representations for Statistical Data Analysis.- 10. Statistical Software.- Algorithms for the Beta Distribution Function.- Interactive User-Friendly Package for Design and Analysis of Experiments.- NL: A Statistical Package for General Nonlinear Regression Problems.- Statistical Software for Personal Computers.- Recursive Techniques in Statistical Programming.- Design Criteria for a Flexible Statistical Language.- Statistical Software SAM - Sensitivity Analysis in Multivariate Methods.- 11. Data Handling and Computational Methods of Clinical Trials.- Data Handling and Computational Methods in Clinical Trials.- Database Assisted Conduct of Clinical Trials.- An APL-System for Analysing Multivariate Data.- AMS - A Computer Program for Survival Analysis, General Linear Models and a Stochastic Survival Model.- 12. Econometric Computing.- A Multilingual Specification System for Statistical Software.- An Efficient Algorithm for Time Series Decomposition.- 13. Statistical Data Base Management Systems.- Database Management and Statistical Data Analysis: The Need for Integration and for Becoming More Intelligent.- Privacy, Informatics and Statistics.- Italian Statistical Data Dictionary System Prototype Developed with a 4th Generation Language.- A Methodology for Conceptual Design of Statistical Databases.- Towards Natural Integration of Database Management System and Statistical Software.- Easy-Link: An Expert Natural Language Interface to a Statistical Data Bank.- Farandole: A RDBMS for Statistical Data Analysis.- Model- and Method Banks (MMB) as a Supplement to Statistical Data Banks.- A Security Mechanism Based on Uniform Rounding to prevent Tracker Techniques.- 14. Teaching of Computational Statistics.- A Data Analysis Course in a Computer Science Faculty.- Teaching Computational Statistics on Workstations.- Teaching Regression Analysis Using MIMOSA - an Interactive Computer System for Matrix Calculus.- Late Arrivals.- Practical Use of Color Imagin in Automatic Classification.- Algorithm and Software of Multivariate Statistical Analysis of Heterogeneous Data.- Adress-List of Authors.
Number Of Pages: 513
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 24.41 x 16.99
Weight (kg): 0.84