Ebook: Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks
- Tags: 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 Mat
- Series: Statistics for Industry and Technology
- Year: 2010
- Publisher: Birkhäuser Basel
- Edition: 1
- Language: English
- pdf
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, and neural networks. Emphasized throughout the volume are new methods with the potential for solving real-world problems in various areas.
The book is divided into eight major sections:
* Data Mining and Text Mining
* Information Theory and Statistical Applications
* Asymptotic Behaviour of Stochastic Processes and Random Fields
* Bioinformatics and Markov Chains
* Life Table Data, Survival Analysis, and Risk in Household Insurance
* Neural Networks and Self-Organizing Maps
* Parametric and Nonparametric Statistics
* Statistical Theory and Methods
Advances in Data Analysis is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.
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, and neural networks. Emphasized throughout the volume are new methods with the potential for solving real-world problems in various areas.
The book is divided into eight major sections:
* Data Mining and Text Mining
* Information Theory and Statistical Applications
* Asymptotic Behaviour of Stochastic Processes and Random Fields
* Bioinformatics and Markov Chains
* Life Table Data, Survival Analysis, and Risk in Household Insurance
* Neural Networks and Self-Organizing Maps
* Parametric and Nonparametric Statistics
* Statistical Theory and Methods
Advances in Data Analysis is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.
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, and neural networks. Emphasized throughout the volume are new methods with the potential for solving real-world problems in various areas.
The book is divided into eight major sections:
* Data Mining and Text Mining
* Information Theory and Statistical Applications
* Asymptotic Behaviour of Stochastic Processes and Random Fields
* Bioinformatics and Markov Chains
* Life Table Data, Survival Analysis, and Risk in Household Insurance
* Neural Networks and Self-Organizing Maps
* Parametric and Nonparametric Statistics
* Statistical Theory and Methods
Advances in Data Analysis is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.
Content:
Front Matter....Pages i-xxi
Front Matter....Pages 1-1
Assessing the Stability of Supplementary Elements on Principal Axes Maps Through Bootstrap Resampling. Contribution to Interpretation in Textual Analysis....Pages 3-11
A Doubly Projected Analysis for Lexical Tables....Pages 13-19
Analysis of a Mixture of Closed and Open-Ended Questions in the Case of a Multilingual Survey....Pages 21-31
Number of Frequent Patterns in Random Databases....Pages 33-45
Front Matter....Pages 47-47
Introduction....Pages 49-50
Measures of Divergence in Model Selection....Pages 51-65
High Leverage Points and Outliers in Generalized Linear Models for Ordinal Data....Pages 67-80
On a Minimization Problem Involving Divergences and Its Applications....Pages 81-94
Front Matter....Pages 95-95
Remarks on Stochastic Models Under Consideration....Pages 97-104
New Invariance Principles for Critical Branching Process in Random Environment....Pages 105-115
Gaussian Approximation for Multichannel Queueing Systems....Pages 117-128
Stochastic Insurance Models, Their Optimality and Stability....Pages 129-140
Central Limit Theorem for Random Fields and Applications....Pages 141-150
A Berry – Esseen Type Estimate for Dependent Systems on Transitive Graphs....Pages 151-156
Critical and Subcritical Branching Symmetric Random Walks on d-Dimensional Lattices....Pages 157-168
Front Matter....Pages 169-169
Finite Markov Chain Embedding for the Exact Distribution of Patterns in a Set of Random Sequences....Pages 171-180
On the Convergence of the Discrete-Time Homogeneous Markov Chain....Pages 181-200
Front Matter....Pages 201-201
Comparing the Gompertz-Type Models with a First Passage Time Density Model....Pages 203-209
A Comparison of Recent Procedures in Weibull Mixture Testing....Pages 211-218
Hierarchical Bayesian Modelling of Geographic Dependence of Risk in Household Insurance....Pages 219-227
Front Matter....Pages 229-229
The FCN Framework: Development and Applications....Pages 231-265
On the Use of Self-Organising Maps to Analyse Spectral Data....Pages 267-274
Neuro-Fuzzy Versus Traditional Models for Forecasting Wind Energy Production....Pages 275-287
Front Matter....Pages 289-289
Nonparametric Comparison of Several Sequential k-out-of-n Systems....Pages 291-304
Adjusting p-Values when n Is Large in the Presence of Nuisance Parameters....Pages 305-318
Front Matter....Pages 319-319
Fitting Pareto II Distributions on Firm Size: Statistical Methodology and Economic Puzzles....Pages 321-328
Application of Extreme Value Theory to Economic Capital Estimation....Pages 329-336
Multiresponse Robust Engineering: Industrial Experiment Parameter Estimation....Pages 337-344
Inference for Binomial Change Point Data....Pages 345-352
Back Matter....Pages 1-12
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, and neural networks. Emphasized throughout the volume are new methods with the potential for solving real-world problems in various areas.
The book is divided into eight major sections:
* Data Mining and Text Mining
* Information Theory and Statistical Applications
* Asymptotic Behaviour of Stochastic Processes and Random Fields
* Bioinformatics and Markov Chains
* Life Table Data, Survival Analysis, and Risk in Household Insurance
* Neural Networks and Self-Organizing Maps
* Parametric and Nonparametric Statistics
* Statistical Theory and Methods
Advances in Data Analysis is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.
Content:
Front Matter....Pages i-xxi
Front Matter....Pages 1-1
Assessing the Stability of Supplementary Elements on Principal Axes Maps Through Bootstrap Resampling. Contribution to Interpretation in Textual Analysis....Pages 3-11
A Doubly Projected Analysis for Lexical Tables....Pages 13-19
Analysis of a Mixture of Closed and Open-Ended Questions in the Case of a Multilingual Survey....Pages 21-31
Number of Frequent Patterns in Random Databases....Pages 33-45
Front Matter....Pages 47-47
Introduction....Pages 49-50
Measures of Divergence in Model Selection....Pages 51-65
High Leverage Points and Outliers in Generalized Linear Models for Ordinal Data....Pages 67-80
On a Minimization Problem Involving Divergences and Its Applications....Pages 81-94
Front Matter....Pages 95-95
Remarks on Stochastic Models Under Consideration....Pages 97-104
New Invariance Principles for Critical Branching Process in Random Environment....Pages 105-115
Gaussian Approximation for Multichannel Queueing Systems....Pages 117-128
Stochastic Insurance Models, Their Optimality and Stability....Pages 129-140
Central Limit Theorem for Random Fields and Applications....Pages 141-150
A Berry – Esseen Type Estimate for Dependent Systems on Transitive Graphs....Pages 151-156
Critical and Subcritical Branching Symmetric Random Walks on d-Dimensional Lattices....Pages 157-168
Front Matter....Pages 169-169
Finite Markov Chain Embedding for the Exact Distribution of Patterns in a Set of Random Sequences....Pages 171-180
On the Convergence of the Discrete-Time Homogeneous Markov Chain....Pages 181-200
Front Matter....Pages 201-201
Comparing the Gompertz-Type Models with a First Passage Time Density Model....Pages 203-209
A Comparison of Recent Procedures in Weibull Mixture Testing....Pages 211-218
Hierarchical Bayesian Modelling of Geographic Dependence of Risk in Household Insurance....Pages 219-227
Front Matter....Pages 229-229
The FCN Framework: Development and Applications....Pages 231-265
On the Use of Self-Organising Maps to Analyse Spectral Data....Pages 267-274
Neuro-Fuzzy Versus Traditional Models for Forecasting Wind Energy Production....Pages 275-287
Front Matter....Pages 289-289
Nonparametric Comparison of Several Sequential k-out-of-n Systems....Pages 291-304
Adjusting p-Values when n Is Large in the Presence of Nuisance Parameters....Pages 305-318
Front Matter....Pages 319-319
Fitting Pareto II Distributions on Firm Size: Statistical Methodology and Economic Puzzles....Pages 321-328
Application of Extreme Value Theory to Economic Capital Estimation....Pages 329-336
Multiresponse Robust Engineering: Industrial Experiment Parameter Estimation....Pages 337-344
Inference for Binomial Change Point Data....Pages 345-352
Back Matter....Pages 1-12
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