Información del autor
Autor José María Sarabia Alegría |
Documentos disponibles escritos por este autor (6)
Refinar búsquedaAdvances in Distribution Theory, Order Statistics, and Inference / SpringerLink (Online service) ; Nagraj Balakrishnan ; José María Sarabia Alegría ; Enrique Castillo (2006)
Título : Advances in Distribution Theory, Order Statistics, and Inference Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Nagraj Balakrishnan ; José María Sarabia Alegría ; Enrique Castillo Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2006 Colección: Statistics for Industry and Technology, ISSN 2364-6241 Número de páginas: LVI, 484 p Il.: online resource ISBN/ISSN/DL: 978-0-8176-4487-1 Idioma : Inglés (eng) Palabras clave: Mathematics Applied mathematics Engineering Probabilities Statistics Probability Theory and Stochastic Processes Statistical Methods for Engineering, Physics, Computer Science, Chemistry Earth Sciences Applications of Clasificación: 51 Matemáticas Resumen: Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian inference, multivariate analysis, bounds and orderings, and characterization problems. Organized to honor Arnold’s significant contributions to the field, this volume is an outgrowth of the "International Conference on Distribution Theory, Order Statistics, and Inference," held at the University of Cantabria, Santander, Spain. Several distinguished and active researchers highlight some of the recent developments in statistical distribution theory, order statistics and their properties, as well as inferential methods associated with them. Applications to survival analysis, reliability, quality control, and environmental problems are emphasized. The volume is classified into the following five parts, according to the focus of the articles: * Discrete distributions and applications * Continuous distributions and applications * Order statistics and applications * Reliability and applications * Inference This comprehensive reference work will serve the statistical and applied mathematics communities, as well as practitioners, researchers, and graduate students in applied probability and statistics, reliability engineering, and biostatistics Nota de contenido: Discrete Distributions and Applications -- Stochastic Comparisons of Bernoulli Sums and Binomial Random Variables -- Stopped Compound Poisson Process and Related Distributions -- Constructions of Discrete Bivariate Distributions -- Continuous Distributions and Applications -- The Normal-Laplace Distribution and Its Relatives -- Some Observations on a Simple Means of Generating Skew Distributions -- Bivariate Distributions Based on the Generalized Three-Parameter Beta Distribution -- A Kotz-Type Distribution for Multivariate Statistical Inference -- Range of Correlation Matrices for Dependent Random Variables with Given Marginal Distributions -- Multifractional Probabilistic Laws -- Order Statistics and Applications -- Topics in the History of Order Statistics -- Order Statistics from Independent Exponential Random Variables and the Sum of the Top Order Statistics -- Fisher Information and Tukey’s Linear Sensitivity Measure Based on Ordered Ranked Set Samples -- Information Measures for Pareto Distributions and Order Statistics -- Confidence Coefficients of Interpolated Nonparametric Sign Intervals for Medians Under No or Weak Shape Assumptions -- Small Sample Asymptotics for Higher-Order Spacings -- Best Bounds on Expectations of L-Statistics from Bounded Samples -- Reliability and Applications -- The Failure Rates of Mixtures -- Characterizations of the Relative Behavior of Two Systems via Properties of Their Signature Vectors -- Systems with Exchangeable Components and Gumbel Exponential Distribution -- Estimating the Mean of Exponential Distribution from Step-Stress Life Test Data -- Random Stress-Dependent Strength Models Through Bivariate Exponential Conditionals Distributions -- Inference -- Some New Methods for Local Sensitivity Analysis in Statistics -- t-Tests with Models Close to the Normal Distribution -- Computational Aspect of the Chi-Square Goodness-of-Fit Test Application -- An Objective Bayesian Procedure for Variable Selection in Regression -- On Bayesian and Decision-Theoretic Approaches to Statistical Prediction -- Phi-Divergence-Type Test for Positive Dependence Alternatives in 2*k Contingency Tables -- Dimension Reduction in Multivariate Time Series -- The Hat Problem and Some Variations En línea: http://dx.doi.org/10.1007/0-8176-4487-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34872 Advances in Distribution Theory, Order Statistics, and Inference [documento electrónico] / SpringerLink (Online service) ; Nagraj Balakrishnan ; José María Sarabia Alegría ; Enrique Castillo . - Boston, MA : Birkhäuser Boston, 2006 . - LVI, 484 p : online resource. - (Statistics for Industry and Technology, ISSN 2364-6241) .
ISBN : 978-0-8176-4487-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Applied mathematics Engineering Probabilities Statistics Probability Theory and Stochastic Processes Statistical Methods for Engineering, Physics, Computer Science, Chemistry Earth Sciences Applications of Clasificación: 51 Matemáticas Resumen: Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian inference, multivariate analysis, bounds and orderings, and characterization problems. Organized to honor Arnold’s significant contributions to the field, this volume is an outgrowth of the "International Conference on Distribution Theory, Order Statistics, and Inference," held at the University of Cantabria, Santander, Spain. Several distinguished and active researchers highlight some of the recent developments in statistical distribution theory, order statistics and their properties, as well as inferential methods associated with them. Applications to survival analysis, reliability, quality control, and environmental problems are emphasized. The volume is classified into the following five parts, according to the focus of the articles: * Discrete distributions and applications * Continuous distributions and applications * Order statistics and applications * Reliability and applications * Inference This comprehensive reference work will serve the statistical and applied mathematics communities, as well as practitioners, researchers, and graduate students in applied probability and statistics, reliability engineering, and biostatistics Nota de contenido: Discrete Distributions and Applications -- Stochastic Comparisons of Bernoulli Sums and Binomial Random Variables -- Stopped Compound Poisson Process and Related Distributions -- Constructions of Discrete Bivariate Distributions -- Continuous Distributions and Applications -- The Normal-Laplace Distribution and Its Relatives -- Some Observations on a Simple Means of Generating Skew Distributions -- Bivariate Distributions Based on the Generalized Three-Parameter Beta Distribution -- A Kotz-Type Distribution for Multivariate Statistical Inference -- Range of Correlation Matrices for Dependent Random Variables with Given Marginal Distributions -- Multifractional Probabilistic Laws -- Order Statistics and Applications -- Topics in the History of Order Statistics -- Order Statistics from Independent Exponential Random Variables and the Sum of the Top Order Statistics -- Fisher Information and Tukey’s Linear Sensitivity Measure Based on Ordered Ranked Set Samples -- Information Measures for Pareto Distributions and Order Statistics -- Confidence Coefficients of Interpolated Nonparametric Sign Intervals for Medians Under No or Weak Shape Assumptions -- Small Sample Asymptotics for Higher-Order Spacings -- Best Bounds on Expectations of L-Statistics from Bounded Samples -- Reliability and Applications -- The Failure Rates of Mixtures -- Characterizations of the Relative Behavior of Two Systems via Properties of Their Signature Vectors -- Systems with Exchangeable Components and Gumbel Exponential Distribution -- Estimating the Mean of Exponential Distribution from Step-Stress Life Test Data -- Random Stress-Dependent Strength Models Through Bivariate Exponential Conditionals Distributions -- Inference -- Some New Methods for Local Sensitivity Analysis in Statistics -- t-Tests with Models Close to the Normal Distribution -- Computational Aspect of the Chi-Square Goodness-of-Fit Test Application -- An Objective Bayesian Procedure for Variable Selection in Regression -- On Bayesian and Decision-Theoretic Approaches to Statistical Prediction -- Phi-Divergence-Type Test for Positive Dependence Alternatives in 2*k Contingency Tables -- Dimension Reduction in Multivariate Time Series -- The Hat Problem and Some Variations En línea: http://dx.doi.org/10.1007/0-8176-4487-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34872 Ejemplares
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Título : Advances in Mathematical and Statistical Modeling Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Roberto Minguez ; 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) ; Roberto Minguez ; 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 : Análisis de la movilidad peatonal en la ciudad de Madrid : análisis empírico y leyes de potencia Tipo de documento: documento electrónico Autores: Alejandro García Girón, Autor ; María Victoria López López, Director de tesi ; José María Sarabia Alegría, Director de tesi Fecha de publicación: 2021 Número de páginas: 38 p. Nota general: Máster en Data Science para Finanzas Idioma : Español (spa) Materias: Ciudades
Inteligencia artificial
Tratamiento automático de datosPalabras clave: Sensores, movilidad, periodo de confinamiento, modelo tamaño-rango, validación, regresión tamaño-rango ½. Clasificación: 004.65 Bases de datos y sus estructuras. Sistemas de gestión de bases de datos. Análisis de datos Resumen: Esta memoria de Fin de Máster consiste en una investigación para demostrar el cumplimiento de la llamada Power Law, haciendo uso de los datos de movilidad de la ciudad de Madrid para el año 2020. Se ha elegido los datos correspondientes al distrito Centro, tomando como referencia de la investigación la movilidad peatonal recogida por los sensores distribuidos por la capital de España. Para abordar este trabajo se ha distribuido el contenido en seis capítulos. En primer lugar, se introduce la problemática y la casuística sobre la que trabajaremos junto con los objetivos que perseguimos cumplir. En segundo lugar, se ha trabajado sobre memorias y publicaciones referentes sobre esta temática de distintas épocas, comparando las distintas metodologías de ajuste que emplean los autores para alcanzar el objetivo final de validación de la Power Law. En tercer lugar, se han aplicado dichas metodologías al conjunto de datos, haciendo uso de los consecuentes contrastes y validaciones. Por último, se ha incluido en un anexo las notas relevantes y conclusiones extraídas durante la investigación. En la memoria se persigue un doble objetivo: por un lado, el procesado, análisis y limpieza de los datos y por otro el de probar que la movilidad en la ciudad de Madrid sigue una ley de potencias, como designaremos más frecuentemente, Power Law. Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=49103 Análisis de la movilidad peatonal en la ciudad de Madrid : análisis empírico y leyes de potencia [documento electrónico] / Alejandro García Girón, Autor ; María Victoria López López, Director de tesi ; José María Sarabia Alegría, Director de tesi . - 2021 . - 38 p.
Máster en Data Science para Finanzas
Idioma : Español (spa)
Materias: Ciudades
Inteligencia artificial
Tratamiento automático de datosPalabras clave: Sensores, movilidad, periodo de confinamiento, modelo tamaño-rango, validación, regresión tamaño-rango ½. Clasificación: 004.65 Bases de datos y sus estructuras. Sistemas de gestión de bases de datos. Análisis de datos Resumen: Esta memoria de Fin de Máster consiste en una investigación para demostrar el cumplimiento de la llamada Power Law, haciendo uso de los datos de movilidad de la ciudad de Madrid para el año 2020. Se ha elegido los datos correspondientes al distrito Centro, tomando como referencia de la investigación la movilidad peatonal recogida por los sensores distribuidos por la capital de España. Para abordar este trabajo se ha distribuido el contenido en seis capítulos. En primer lugar, se introduce la problemática y la casuística sobre la que trabajaremos junto con los objetivos que perseguimos cumplir. En segundo lugar, se ha trabajado sobre memorias y publicaciones referentes sobre esta temática de distintas épocas, comparando las distintas metodologías de ajuste que emplean los autores para alcanzar el objetivo final de validación de la Power Law. En tercer lugar, se han aplicado dichas metodologías al conjunto de datos, haciendo uso de los consecuentes contrastes y validaciones. Por último, se ha incluido en un anexo las notas relevantes y conclusiones extraídas durante la investigación. En la memoria se persigue un doble objetivo: por un lado, el procesado, análisis y limpieza de los datos y por otro el de probar que la movilidad en la ciudad de Madrid sigue una ley de potencias, como designaremos más frecuentemente, Power Law. Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=49103 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Documentos electrónicos
Documento completoURLMajorization and the Lorenz Order with applications in applied mathematics and economics / Barry C. Arnold (2018)
Título : Majorization and the Lorenz Order with applications in applied mathematics and economics Tipo de documento: texto impreso Autores: Barry C. Arnold, Autor ; José María Sarabia Alegría, Autor Mención de edición: Softcover reprint of the hardcover 1st ed Editorial: Boston, MA : Springer US Fecha de publicación: 2018 Colección: Statistics for Social and Behavioral Sciences Número de páginas: XVI, 272 p. Il.: gráf., tablas Dimensiones: 24 cm ISBN/ISSN/DL: 978-3-030-06720-5 Idioma : Inglés (eng) Materias: Curva de Lorenz
Distribuciones estadísticas
Proceso estocásticoClasificación: 517.9 Ecuaciones diferenciales. Ecuaciones integrales. Otras ecuaciones funcionales. Diferencias finitas. Cálculo de variaciones. Análisis funcional Nota de contenido: Ejercicios en cada capítulo, bibliografía e índices. Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=49985 Majorization and the Lorenz Order with applications in applied mathematics and economics [texto impreso] / Barry C. Arnold, Autor ; José María Sarabia Alegría, Autor . - Softcover reprint of the hardcover 1st ed . - Boston, MA : Springer US, 2018 . - XVI, 272 p. : gráf., tablas ; 24 cm. - (Statistics for Social and Behavioral Sciences) .
ISBN : 978-3-030-06720-5
Idioma : Inglés (eng)
Materias: Curva de Lorenz
Distribuciones estadísticas
Proceso estocásticoClasificación: 517.9 Ecuaciones diferenciales. Ecuaciones integrales. Otras ecuaciones funcionales. Diferencias finitas. Cálculo de variaciones. Análisis funcional Nota de contenido: Ejercicios en cada capítulo, bibliografía e índices. Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=49985 Reserva
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Signatura Medio Ubicación Sub-localización Sección Estado 517.9 ARN maj Monografías Campus Pirineos Monografías Pirineos Disponible
Título : Prácticas de estadística con R Tipo de documento: texto impreso Autores: José María Sarabia Alegría, Autor ; Faustino Prieto, Autor ; Vanesa Jordá, Autor Editorial: Madrid : Pirámide Fecha de publicación: cop. 2018 Colección: Colección economía y empresa Número de páginas: 341 p. Il.: gráf. Dimensiones: 24 cm ISBN/ISSN/DL: 978-84-368-3873-2 Idioma : Español (spa) Materias: Estadística
Lenguajes de programaciónClasificación: 004R R (Lenguaje de programación) Nota de contenido: Bibliografía general. Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=47856 Prácticas de estadística con R [texto impreso] / José María Sarabia Alegría, Autor ; Faustino Prieto, Autor ; Vanesa Jordá, Autor . - Madrid : Pirámide, cop. 2018 . - 341 p. : gráf. ; 24 cm. - (Colección economía y empresa) .
ISBN : 978-84-368-3873-2
Idioma : Español (spa)
Materias: Estadística
Lenguajes de programaciónClasificación: 004R R (Lenguaje de programación) Nota de contenido: Bibliografía general. Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=47856 Reserva
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Signatura Medio Ubicación Sub-localización Sección Estado 004R SAR pra Monografías Campus Almansa Monografías AL En préstamo hasta 15/06/2023 004R SAR pra Monografías Campus Almansa Monografías AL Disponible 004R SAR pra Monografías Campus Almansa Monografías AL Disponible
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