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Título : Advances in Data Analysis : Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Skiadas, Christos H Editorial: Boston : Birkhäuser Boston Fecha de publicación: 2010 Colección: Statistics for Industry and Technology Número de páginas: XXIV, 364 p. 68 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4799-5 Idioma : Inglés (eng) Palabras clave: Mathematics Applied mathematics Engineering Mathematical optimization Probabilities Statistics Probability Theory and Stochastic Processes Applications of Optimization Statistical Methods for Life Sciences, Medicine, Health Sciences Engineering, Physics, Computer Science, Chemistry Earth Clasificación: 51 Matemáticas Resumen: 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 Nota de contenido: 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 Fields and 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 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 En línea: http://dx.doi.org/10.1007/978-0-8176-4799-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33541 Advances in Data Analysis : Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks [documento electrónico] / SpringerLink (Online service) ; Skiadas, Christos H . - Boston : Birkhäuser Boston, 2010 . - XXIV, 364 p. 68 illus : online resource. - (Statistics for Industry and Technology) .
ISBN : 978-0-8176-4799-5
Idioma : Inglés (eng)
Palabras clave: Mathematics Applied mathematics Engineering Mathematical optimization Probabilities Statistics Probability Theory and Stochastic Processes Applications of Optimization Statistical Methods for Life Sciences, Medicine, Health Sciences Engineering, Physics, Computer Science, Chemistry Earth Clasificación: 51 Matemáticas Resumen: 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 Nota de contenido: 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 Fields and 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 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 En línea: http://dx.doi.org/10.1007/978-0-8176-4799-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33541 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Advances in Mathematical and Statistical Modeling / SpringerLink (Online service) ; Minguez, Roberto ; José María Sarabia Alegría ; Nagraj Balakrishnan ; Barry C. Arnold (2008)
Título : Advances in Mathematical and Statistical Modeling Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Minguez, Roberto ; José María Sarabia Alegría ; Nagraj Balakrishnan ; Barry C. Arnold Editorial: Boston : Birkhäuser Boston Fecha de publicación: 2008 Colección: Statistics for Industry and Technology Número de páginas: XXXIV, 368 p. 56 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4626-4 Idioma : Inglés (eng) Palabras clave: Mathematics Computer mathematics Mathematical models Probabilities Statistics Modeling and Industrial Probability Theory Stochastic Processes Statistical Methods for Business/Economics/Mathematical Finance/Insurance Engineering, Physics, Science, Chemistry Earth Sciences Computational Science Engineering Clasificación: 51 Matemáticas Resumen: Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory, Bayesian networks, neural networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications. Organized to honor Castillo's significant contributions, this volume is an outgrowth of the International Conference on Mathematical and Statistical Modeling and covers recent advances in the field. Also presented are applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques. The book is divided into nine major sections: * Distribution Theory and Applications * Probability and Statistics * Order Statistics and Analysis * Engineering Modeling * Extreme Value Theory * Business and Economics Applications * Statistical Methods * Applied Mathematics * Discrete Distributions This comprehensive reference work will appeal to a diverse audience from the statistical, applied mathematics, engineering, and economics communities. Practitioners, researchers, and graduate students in mathematical and statistical modeling, optimization, and computing will benefit from this work Nota de contenido: Distribution Theory and Applications -- Enrique Castillo#x02019;s Contributions to Conditional Specification -- The Polygonal Distribution -- Conditionally Specified Models: New Developments and Applications -- Modelling of Insurance Claim Count with Hurdle Distribution for Panel Data -- Distance Based Association and Multi-Sample Tests for General Multivariate Data -- Probability and Statistics -- Empirical Bayes Assessment of the Hyperparameters in Bayesian -- Order Statistics and Analysis -- Negative Mixtures Order Statistics and Systems -- Models of Ordered Data and Products of Beta Random Variables -- Exact Inference and Optimal Censoring Scheme for a Simple Step-Stress Model Under Progressive Type-II Censorig -- Engineering Modeling -- Non Gaussian State Estimation in Power Systems -- Statistics Applied to Wave Climate on a Beach Profile -- Extreme Value Theory -- On Some Dependence Measures for Multivariate Extreme Value Distributions -- Ratio of Maximum to the Sum for Testing Super Heavy Tails -- Tail Behaviour An Empirical Study -- An Example of Real#x02013;Life Data Where the Hill Estimator is Correct -- Business and Economics Applications -- Deriving Credibility Premiums Under Different Bayesian Methodology -- The Influence of Transport Links on Disaggregation and Regionalization Methods in Interregional Input-Output Models Between Metropolitan and Remote Areas -- Statistical Methods -- Jackknife Bias Correction of a Clock Offset Estimator -- Pretesting in Polytomous Logistic Regression Models Based on Phi-divergence Measures -- A Unified Approach to Model Selection, Discrimination, Goodness of Fit and Outliers in Time Series -- Generalized Linear Models Diagnostics for Binary Data using Divergence Measures -- Applied Mathematics -- Some Problems in Geometric Processing of Surfaces -- Generalized Inverse Computation Based on an Orthogonal Decomposition Methodology -- Single and Ensemble Fault Classifiers Based on Features Selected by Multi-Objective Genetic Algorithms -- Feasibility Conditions in Engineering Problems Involving a Parametric System of Linear Inequalities -- Forecasting Nonlinear Systems with Neural Networks via Anticipated Synchronization -- Discrete Distributions -- The Discrete Half-Normal Distribution -- Parameter Estimation for Certain q-Hypergeometric Distributions En línea: http://dx.doi.org/10.1007/978-0-8176-4626-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34269 Advances in Mathematical and Statistical Modeling [documento electrónico] / SpringerLink (Online service) ; Minguez, Roberto ; José María Sarabia Alegría ; Nagraj Balakrishnan ; Barry C. Arnold . - Boston : Birkhäuser Boston, 2008 . - XXXIV, 368 p. 56 illus : online resource. - (Statistics for Industry and Technology) .
ISBN : 978-0-8176-4626-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer mathematics Mathematical models Probabilities Statistics Modeling and Industrial Probability Theory Stochastic Processes Statistical Methods for Business/Economics/Mathematical Finance/Insurance Engineering, Physics, Science, Chemistry Earth Sciences Computational Science Engineering Clasificación: 51 Matemáticas Resumen: Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory, Bayesian networks, neural networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications. Organized to honor Castillo's significant contributions, this volume is an outgrowth of the International Conference on Mathematical and Statistical Modeling and covers recent advances in the field. Also presented are applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques. The book is divided into nine major sections: * Distribution Theory and Applications * Probability and Statistics * Order Statistics and Analysis * Engineering Modeling * Extreme Value Theory * Business and Economics Applications * Statistical Methods * Applied Mathematics * Discrete Distributions This comprehensive reference work will appeal to a diverse audience from the statistical, applied mathematics, engineering, and economics communities. Practitioners, researchers, and graduate students in mathematical and statistical modeling, optimization, and computing will benefit from this work Nota de contenido: Distribution Theory and Applications -- Enrique Castillo#x02019;s Contributions to Conditional Specification -- The Polygonal Distribution -- Conditionally Specified Models: New Developments and Applications -- Modelling of Insurance Claim Count with Hurdle Distribution for Panel Data -- Distance Based Association and Multi-Sample Tests for General Multivariate Data -- Probability and Statistics -- Empirical Bayes Assessment of the Hyperparameters in Bayesian -- Order Statistics and Analysis -- Negative Mixtures Order Statistics and Systems -- Models of Ordered Data and Products of Beta Random Variables -- Exact Inference and Optimal Censoring Scheme for a Simple Step-Stress Model Under Progressive Type-II Censorig -- Engineering Modeling -- Non Gaussian State Estimation in Power Systems -- Statistics Applied to Wave Climate on a Beach Profile -- Extreme Value Theory -- On Some Dependence Measures for Multivariate Extreme Value Distributions -- Ratio of Maximum to the Sum for Testing Super Heavy Tails -- Tail Behaviour An Empirical Study -- An Example of Real#x02013;Life Data Where the Hill Estimator is Correct -- Business and Economics Applications -- Deriving Credibility Premiums Under Different Bayesian Methodology -- The Influence of Transport Links on Disaggregation and Regionalization Methods in Interregional Input-Output Models Between Metropolitan and Remote Areas -- Statistical Methods -- Jackknife Bias Correction of a Clock Offset Estimator -- Pretesting in Polytomous Logistic Regression Models Based on Phi-divergence Measures -- A Unified Approach to Model Selection, Discrimination, Goodness of Fit and Outliers in Time Series -- Generalized Linear Models Diagnostics for Binary Data using Divergence Measures -- Applied Mathematics -- Some Problems in Geometric Processing of Surfaces -- Generalized Inverse Computation Based on an Orthogonal Decomposition Methodology -- Single and Ensemble Fault Classifiers Based on Features Selected by Multi-Objective Genetic Algorithms -- Feasibility Conditions in Engineering Problems Involving a Parametric System of Linear Inequalities -- Forecasting Nonlinear Systems with Neural Networks via Anticipated Synchronization -- Discrete Distributions -- The Discrete Half-Normal Distribution -- Parameter Estimation for Certain q-Hypergeometric Distributions En línea: http://dx.doi.org/10.1007/978-0-8176-4626-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34269 Ejemplares
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Título : An Introduction to Queueing Theory : Modeling and Analysis in Applications Tipo de documento: documento electrónico Autores: U. Narayan Bhat ; SpringerLink (Online service) Editorial: Boston : Birkhäuser Boston Fecha de publicación: 2008 Colección: Statistics for Industry and Technology Número de páginas: XII, 268 p. 5 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4725-4 Idioma : Inglés (eng) Palabras clave: Mathematics Mathematical models Operations research Management science Probabilities Statistics Industrial engineering Production Probability Theory and Stochastic Processes for Engineering, Physics, Computer Science, Chemistry Earth Sciences Research, Science Statistical Methods Modeling Engineering Clasificación: 51 Matemáticas Resumen: This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students in mathematics, statistics, and applied disciplines such as computer science, operations research, and engineering. Key features: * An introductory chapter including a historical account of the growth of queueing theory in the last 100 years. * A modeling-based approach with emphasis on identification of models using topics such as collection of data and tests for stationarity and independence of observations. * Rigorous treatment of the foundations of basic models commonly used in applications with appropriate references for advanced topics. * A chapter on modeling and analysis using computational tools. * A comprehensive treatment of statistical inference for queueing systems. * A discussion of operational and decision problems. * Modeling exercises as a motivational tool, and review exercises covering background material on statistical distributions. An Introduction to Queueing Theory may be used as a textbook by first-year graduate students in fields such as computer science, operations research, industrial and systems engineering, as well as related fields such as manufacturing and communications engineering. Upper-level undergraduate students in mathematics, statistics, and engineering may also use the book in an elective introductory course on queueing theory. With its rigorous coverage of basic material and extensive bibliography of the queueing literature, the work may also be useful to applied scientists and practitioners as a self-study reference for applications and further research Nota de contenido: System Element Models -- Basic Concepts in Stochastic Processes -- Simple Markovian Queueing Systems -- Imbedded Markov Chain Models -- Extended Markov Models -- Queueing Networks -- Renewal Process Models -- The General Queue //1 and Approximations -- Statistical Inference for Queueing Models -- Decision Problems in Queueing Theory -- Modeling and Analysis Using Computational Tools -- Poisson Process: Properties and Related Distributions -- Markov Process -- Results from Mathematics En línea: http://dx.doi.org/10.1007/978-0-8176-4725-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34282 An Introduction to Queueing Theory : Modeling and Analysis in Applications [documento electrónico] / U. Narayan Bhat ; SpringerLink (Online service) . - Boston : Birkhäuser Boston, 2008 . - XII, 268 p. 5 illus : online resource. - (Statistics for Industry and Technology) .
ISBN : 978-0-8176-4725-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Mathematical models Operations research Management science Probabilities Statistics Industrial engineering Production Probability Theory and Stochastic Processes for Engineering, Physics, Computer Science, Chemistry Earth Sciences Research, Science Statistical Methods Modeling Engineering Clasificación: 51 Matemáticas Resumen: This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students in mathematics, statistics, and applied disciplines such as computer science, operations research, and engineering. Key features: * An introductory chapter including a historical account of the growth of queueing theory in the last 100 years. * A modeling-based approach with emphasis on identification of models using topics such as collection of data and tests for stationarity and independence of observations. * Rigorous treatment of the foundations of basic models commonly used in applications with appropriate references for advanced topics. * A chapter on modeling and analysis using computational tools. * A comprehensive treatment of statistical inference for queueing systems. * A discussion of operational and decision problems. * Modeling exercises as a motivational tool, and review exercises covering background material on statistical distributions. An Introduction to Queueing Theory may be used as a textbook by first-year graduate students in fields such as computer science, operations research, industrial and systems engineering, as well as related fields such as manufacturing and communications engineering. Upper-level undergraduate students in mathematics, statistics, and engineering may also use the book in an elective introductory course on queueing theory. With its rigorous coverage of basic material and extensive bibliography of the queueing literature, the work may also be useful to applied scientists and practitioners as a self-study reference for applications and further research Nota de contenido: System Element Models -- Basic Concepts in Stochastic Processes -- Simple Markovian Queueing Systems -- Imbedded Markov Chain Models -- Extended Markov Models -- Queueing Networks -- Renewal Process Models -- The General Queue //1 and Approximations -- Statistical Inference for Queueing Models -- Decision Problems in Queueing Theory -- Modeling and Analysis Using Computational Tools -- Poisson Process: Properties and Related Distributions -- Markov Process -- Results from Mathematics En línea: http://dx.doi.org/10.1007/978-0-8176-4725-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34282 Ejemplares
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