Advances in Data Analysis Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Skiadas, Christos H. (Editor)
• Format: Electronic
• Language: English
• Published: Boston : Birkhũser Boston, 2010.
• Series: Statistics for Industry and Technology
• Subjects: Statistics.; Mathematics.; Operations research.; Distribution (Probability theory).; Mathematical statistics.; Statistical Theory and Methods.; Probability Theory and Stochastic Processes.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Applications of Mathematics.; Operations Research, Mathematical Programming.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-8176-4799-5

An outgrowth of the 12th International Conference on Applied Stochastic Models and Data Analysis, this book is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifetime data, an...

Table of Contents:

• Preface
• List of Contributors
• List of Tables
• List of Figures
• Part I. Data Mining and Text Mining
• Assessing the Stability of Supplementary Elements on Principal Axes Maps Through Bootstrap Resampling. Contribution to Interpretation in Textual Analysis
• A Doubly Projected Analysis for Lexical Tables
• Analysis of a Mixture of Closed and Open-Ended Questions in the Case of a Multilingual Survey
• Number of Frequent Patterns in Random Databases
• Part II. Information Theory and Statistical Applications
• Introduction
• Measures of Divergence in Model Selection
• High Leverage Points and Outliers in Generalized Linear Models for Ordinal Data
• On a Minimization Problem Involving Divergences and Its Applications
• Part III. Asymptotic Behaviour of Stochastic Processes and Random Fields
• Remarks on Stochastic Models Under Consideration
• New Invariance Principles for Critical Branching Process in Random Environment
• Gaussian Approximation for Multichannel Queueing Systems
• Stochastic Insurance Models, Their Optimality and Stability
• Central Limit Theorem for Random Fields and Applications
• A Berry
• Esseen Type Estimate for Dependent Systems on Transitive Graphs
• Critical and Subcritical Branching Symmetric Random Walks on d-Dimensional Lattices
• Part IV. Bioinformatics and Markov Chains
• Finite Markov Chain Embedding for the Exact Distribution of Patterns in a Set of Random Sequences
• On the Convergence of the Discrete-Time Homogeneous Markov Chain
• Part V. Life Table Data, Survival Analysis, and Risk in Household Insurance
• Comparing the Gompertz-Type Models with a First Passage Time Density Model
• A Comparison of Recent Procedures in Weibull Mixture Testing
• Hierarchical Bayesian Modelling of Geographic Dependence of Risk in Household Insurance
• Part VI. Neural Networks and Self-Organising Maps
• The FCN Framework: Development and Applications
• On the Use of Self-Organising Maps to Analyse Spectral Data
• Neuro-Fuzzy Versus Traditional Models for Forecasting Wind Energy Production
• Part VII. Parametric and Nonparametric Statistics
• Nonparametric Comparison of Several Sequential k-out-of-n Systems
• Adjusting p-Values when n Is Large in the Presence of Nuisance Parameters
• Part VIII. Statistical Theory and Methods
• Fitting Pareto II Distributions on Firm Size: Statistical Methodology and Economic Puzzles
• Application of Extreme Value Theory to Economic Capital Estimation
• Multiresponse Robust Engineering: Industrial Experiment Parameter Estimation
• Inference for Binomial Change Point Data.