Advances in Data Analysis
Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks
(Sprache: Englisch)
This unified volume 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, and neural networks. The book is a useful...
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Produktinformationen zu „Advances in Data Analysis “
Klappentext zu „Advances in Data Analysis “
This unified volume 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, and neural networks. The book is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.
Inhaltsverzeichnis zu „Advances in Data Analysis “
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.- II Information Theory and Statistical Applications.- 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.- 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 Fieldsand Applications.- A Berry #x2013; Esseen Type Estimate for Dependent Systems on Transitive Graphs.- Critical and Subcritical Branching Symmetric Random Walks on -Dimensional Lattices.- 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.- 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.- VI Neural Networks and Self-Organizing 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.- VII Parametric and Non-parametric Statistics.- Nonparametric Comparison of
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Several Sequential -out-of- Systems.- Adjusting -Values when Is Large in the Presence of Nuisance Parameters.- 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.
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Bibliographische Angaben
- 2009, 364 Seiten, 68 Abbildungen, Masse: 18,6 x 26,7 cm, Gebunden, Englisch
- Herausgegeben:Skiadas, Christos H.
- Herausgegeben: Christos H. Skiadas
- Verlag: Springer
- ISBN-10: 0817647988
- ISBN-13: 9780817647988
Sprache:
Englisch
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