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Título : Functional and Operatorial Statistics Tipo de documento: documento electrónico Autores: Sophie Dabo-Niang ; SpringerLink (Online service) ; Frédéric Ferraty Editorial: Heidelberg : Physica-Verlag HD Fecha de publicación: 2008 Colección: Contributions to Statistics, ISSN 1431-1968 Número de páginas: XX, 304 p Il.: online resource ISBN/ISSN/DL: 978-3-7908-2062-1 Idioma : Inglés (eng) Palabras clave: Mathematics Probabilities Statistics Economic theory Probability Theory and Stochastic Processes Statistical Methods Theory/Quantitative Economics/Mathematical for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: An increasing number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress of technologies which allow us to store more and more information while modern instruments are able to collect data much more effectively due to their increasingly sophisticated design. This evolution directly concerns statisticians, who have to propose new methodologies while taking into account such high-dimensional data (e.g. continuous processes, functional data, etc.). The numerous applications (micro-arrays, paleo- ecological data, radar waveforms, spectrometric curves, speech recognition, continuous time series, 3-D images, etc.) in various fields (biology, econometrics, environmetrics, the food industry, medical sciences, paper industry, etc.) make researching this statistical topic very worthwhile. This book gathers important contributions on the functional and operatorial statistics fields Nota de contenido: to IWFOS'2008 -- Solving Multicollinearity in Functional Multinomial Logit Models for Nominal and Ordinal Responses -- Estimation of Functional Regression Models for Functional Responses by Wavelet Approximation -- Functional Linear Regression with Functional Response: Application to Prediction of Electricity Consumption -- Asymptotic Normality of Robust Nonparametric Estimator for Functional Dependent Data -- Measuring Dissimilarity Between Curves by Means of Their Granulometric Size Distributions -- Supervised Classification for Functional Data: A Theoretical Remark and Some Numerical Comparisons -- Local Linear Regression for Functional Predictor and Scalar Response -- Spatio-temporal Functional Regression on Paleoecological Data -- Local Linear Functional Regression Based on Weighted Distance-based Regression -- Singular Value Decomposition of Large Random Matrices (for Two-Way Classification of Microarrays) -- On Tensorial Products of Hilbertian Linear Processes -- Recent Results on Random and Spectral Measures with Some Applications in Statistics -- Parameter Cascading for High Dimensional Models -- Advances in Human Protein Interactome Inference -- Functional Principal Components Analysis with Survey Data -- Functional Clustering of Longitudinal Data -- Robust Nonparametric Estimation for Functional Data -- Estimation of the Functional Linear Regression with Smoothing Splines -- A Random Functional Depth -- Parametric Families of Probability Distributions for Functional Data Using Quasi-Arithmetic Means with Archimedean Generators -- Point-wise Kriging for Spatial Prediction of Functional Data -- Nonparametric Regression on Functional Variable and Structural Tests -- Vector Integration and Stochastic Integration in Banach Spaces -- Multivariate Functional Data Discrimination Using ICA: Analysis of Hippocampal Differences in Alzheimer's Disease -- Influence in the Functional Linear Model with Scalar Response -- Is it Always Optimal to Impose Constraints on Nonparametric Functional Estimators? Some Evidence on the Smoothing Parameter Choice -- Dynamic Semiparametric Factor Models in Pricing Kernels Estimation -- The Operator Trigonometry in Statistics -- Selecting and Ordering Components in Functional-Data Linear Prediction -- Bagplots, Boxplots and Outlier Detection for Functional Data -- Marketing Applications of Functional Data Analysis -- Nonparametric Estimation in Functional Linear Model -- Presmoothing in Functional Linear Regression -- Probability Density Functions of the Empirical Wavelet Coefficients of Multidimensional Poisson Intensities -- A Cokriging Method for Spatial Functional Data with Applications in Oceanology -- On the Effect of Curve Alignment and Functional PCA -- K-sample Subsampling -- Inference for Stationary Processes Using Banded Covariance Matrices -- Automatic Local Spectral Envelope -- Recent Advances in the Use of SVM for Functional Data Classification -- Wavelet Thresholding Methods Applied to Testing Significance Differences Between Autoregressive Hilbertian Processes -- Explorative Functional Data Analysis for 3D-geometries of the Inner Carotid Artery -- Inference on Periodograms of Infinite Dimensional Discrete Time Periodically Correlated Processes En línea: http://dx.doi.org/10.1007/978-3-7908-2062-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34425 Functional and Operatorial Statistics [documento electrónico] / Sophie Dabo-Niang ; SpringerLink (Online service) ; Frédéric Ferraty . - Heidelberg : Physica-Verlag HD, 2008 . - XX, 304 p : online resource. - (Contributions to Statistics, ISSN 1431-1968) .
ISBN : 978-3-7908-2062-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Probabilities Statistics Economic theory Probability Theory and Stochastic Processes Statistical Methods Theory/Quantitative Economics/Mathematical for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: An increasing number of statistical problems and methods involve infinite-dimensional aspects. This is due to the progress of technologies which allow us to store more and more information while modern instruments are able to collect data much more effectively due to their increasingly sophisticated design. This evolution directly concerns statisticians, who have to propose new methodologies while taking into account such high-dimensional data (e.g. continuous processes, functional data, etc.). The numerous applications (micro-arrays, paleo- ecological data, radar waveforms, spectrometric curves, speech recognition, continuous time series, 3-D images, etc.) in various fields (biology, econometrics, environmetrics, the food industry, medical sciences, paper industry, etc.) make researching this statistical topic very worthwhile. This book gathers important contributions on the functional and operatorial statistics fields Nota de contenido: to IWFOS'2008 -- Solving Multicollinearity in Functional Multinomial Logit Models for Nominal and Ordinal Responses -- Estimation of Functional Regression Models for Functional Responses by Wavelet Approximation -- Functional Linear Regression with Functional Response: Application to Prediction of Electricity Consumption -- Asymptotic Normality of Robust Nonparametric Estimator for Functional Dependent Data -- Measuring Dissimilarity Between Curves by Means of Their Granulometric Size Distributions -- Supervised Classification for Functional Data: A Theoretical Remark and Some Numerical Comparisons -- Local Linear Regression for Functional Predictor and Scalar Response -- Spatio-temporal Functional Regression on Paleoecological Data -- Local Linear Functional Regression Based on Weighted Distance-based Regression -- Singular Value Decomposition of Large Random Matrices (for Two-Way Classification of Microarrays) -- On Tensorial Products of Hilbertian Linear Processes -- Recent Results on Random and Spectral Measures with Some Applications in Statistics -- Parameter Cascading for High Dimensional Models -- Advances in Human Protein Interactome Inference -- Functional Principal Components Analysis with Survey Data -- Functional Clustering of Longitudinal Data -- Robust Nonparametric Estimation for Functional Data -- Estimation of the Functional Linear Regression with Smoothing Splines -- A Random Functional Depth -- Parametric Families of Probability Distributions for Functional Data Using Quasi-Arithmetic Means with Archimedean Generators -- Point-wise Kriging for Spatial Prediction of Functional Data -- Nonparametric Regression on Functional Variable and Structural Tests -- Vector Integration and Stochastic Integration in Banach Spaces -- Multivariate Functional Data Discrimination Using ICA: Analysis of Hippocampal Differences in Alzheimer's Disease -- Influence in the Functional Linear Model with Scalar Response -- Is it Always Optimal to Impose Constraints on Nonparametric Functional Estimators? Some Evidence on the Smoothing Parameter Choice -- Dynamic Semiparametric Factor Models in Pricing Kernels Estimation -- The Operator Trigonometry in Statistics -- Selecting and Ordering Components in Functional-Data Linear Prediction -- Bagplots, Boxplots and Outlier Detection for Functional Data -- Marketing Applications of Functional Data Analysis -- Nonparametric Estimation in Functional Linear Model -- Presmoothing in Functional Linear Regression -- Probability Density Functions of the Empirical Wavelet Coefficients of Multidimensional Poisson Intensities -- A Cokriging Method for Spatial Functional Data with Applications in Oceanology -- On the Effect of Curve Alignment and Functional PCA -- K-sample Subsampling -- Inference for Stationary Processes Using Banded Covariance Matrices -- Automatic Local Spectral Envelope -- Recent Advances in the Use of SVM for Functional Data Classification -- Wavelet Thresholding Methods Applied to Testing Significance Differences Between Autoregressive Hilbertian Processes -- Explorative Functional Data Analysis for 3D-geometries of the Inner Carotid Artery -- Inference on Periodograms of Infinite Dimensional Discrete Time Periodically Correlated Processes En línea: http://dx.doi.org/10.1007/978-3-7908-2062-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34425 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Health in Megacities and Urban Areas / SpringerLink (Online service) ; Alexander Krämer ; Mobarak Hossain Khan ; Frauke Kraas (2011)
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Título : Health in Megacities and Urban Areas Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Alexander Krämer ; Mobarak Hossain Khan ; Frauke Kraas Editorial: Heidelberg : Physica-Verlag HD Fecha de publicación: 2011 Colección: Contributions to Statistics, ISSN 1431-1968 Número de páginas: XIV, 319 p Il.: online resource ISBN/ISSN/DL: 978-3-7908-2733-0 Idioma : Inglés (eng) Palabras clave: Medicine Geography Statistics Environmental health Emigration and immigration & Public Health Medicine/Public Health, general Migration Geography, for Life Sciences, Medicine, Sciences Clasificación: 51 Matemáticas Resumen: Diverse driving forces, processes and actors are responsible for different trends in the development of megacities and large urban areas. Under the dynamics of global change, megacities are themselves changing: On the one hand they are prone to increasing socio-economic vulnerability due to pronounced poverty, socio-spatial and political fragmentation, sometimes with extreme forms of segregation, disparities and conflicts. On the other hand megacities offer positive potential for global transformation, e.g. minimisation of space consumption, highly effective use of resources, efficient disaster prevention and health care options – if good strategies were developed. At present in many megacities and urban areas of the developing world and the emerging economies the quality of life is eroding. Most of the megacities have grown to unprecedented size, and the pace of urbanisation has far exceeded the growth of the necessary infrastructure and services. As a result, an increasing number of urban dwellers are left without access to basic amenities like clean drinking water, fresh air and safe food. Additionally, social inequalities lead to subsequent and significant intra-urban health inequalities and unbalanced disease burdens that can trigger conflict and violence between subpopulations. The guiding idea of our book lies in a multi- and interdisciplinary approach to the complex topic of megacities and urban health that can only be adequately understood when different disciplines share their knowledge and methodological tools to work together. We hope that the book will allow readers to deepen their understanding of the complex dynamics of urban and megacity populations through the lens of public health, geographical and other research perspectives En línea: http://dx.doi.org/10.1007/978-3-7908-2733-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33449 Health in Megacities and Urban Areas [documento electrónico] / SpringerLink (Online service) ; Alexander Krämer ; Mobarak Hossain Khan ; Frauke Kraas . - Heidelberg : Physica-Verlag HD, 2011 . - XIV, 319 p : online resource. - (Contributions to Statistics, ISSN 1431-1968) .
ISBN : 978-3-7908-2733-0
Idioma : Inglés (eng)
Palabras clave: Medicine Geography Statistics Environmental health Emigration and immigration & Public Health Medicine/Public Health, general Migration Geography, for Life Sciences, Medicine, Sciences Clasificación: 51 Matemáticas Resumen: Diverse driving forces, processes and actors are responsible for different trends in the development of megacities and large urban areas. Under the dynamics of global change, megacities are themselves changing: On the one hand they are prone to increasing socio-economic vulnerability due to pronounced poverty, socio-spatial and political fragmentation, sometimes with extreme forms of segregation, disparities and conflicts. On the other hand megacities offer positive potential for global transformation, e.g. minimisation of space consumption, highly effective use of resources, efficient disaster prevention and health care options – if good strategies were developed. At present in many megacities and urban areas of the developing world and the emerging economies the quality of life is eroding. Most of the megacities have grown to unprecedented size, and the pace of urbanisation has far exceeded the growth of the necessary infrastructure and services. As a result, an increasing number of urban dwellers are left without access to basic amenities like clean drinking water, fresh air and safe food. Additionally, social inequalities lead to subsequent and significant intra-urban health inequalities and unbalanced disease burdens that can trigger conflict and violence between subpopulations. The guiding idea of our book lies in a multi- and interdisciplinary approach to the complex topic of megacities and urban health that can only be adequately understood when different disciplines share their knowledge and methodological tools to work together. We hope that the book will allow readers to deepen their understanding of the complex dynamics of urban and megacity populations through the lens of public health, geographical and other research perspectives En línea: http://dx.doi.org/10.1007/978-3-7908-2733-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33449 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar mODa 8 - Advances in Model-Oriented Design and Analysis / SpringerLink (Online service) ; Jesús López-Fidalgo ; Juan Manuel Rodríguez-Díaz ; Ben Torsney (2007)
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Título : mODa 8 - Advances in Model-Oriented Design and Analysis : Proceedings of the 8th International Workshop in Model-Oriented Design and Analysis held in Almagro, Spain, June 4–8, 2007 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Jesús López-Fidalgo ; Juan Manuel Rodríguez-Díaz ; Ben Torsney Editorial: Heidelberg : Physica-Verlag HD Fecha de publicación: 2007 Colección: Contributions to Statistics, ISSN 1431-1968 Número de páginas: XVI, 241 p. 27 illus Il.: online resource ISBN/ISSN/DL: 978-3-7908-1952-6 Idioma : Inglés (eng) Palabras clave: Mathematics Probabilities Statistics Economic theory Probability Theory and Stochastic Processes Statistical Methods for Life Sciences, Medicine, Health Sciences Theory/Quantitative Economics/Mathematical Business/Economics/Mathematical Finance/Insurance Clasificación: 51 Matemáticas Resumen: The volume contains the proceedings of the 8th Workshop on Model-Oriented Design and Analysis. This book offers leading and pioneering work on optimal experimental designs, both from a mathematical/statistical point of view and with regard to real applications. Scientists from all over the world, from Eastern and Western Europe, the USA, Latin-America, Asia and Africa, have contributed to this volume. Primary topics are designs for nonlinear models and applications to experimental medicine Nota de contenido: Recruitment in Multicentre Trials: Prediction and Adjustment -- Optimal Design of Pharmacokinetic Studies Described by Stochastic Differential Equations -- Comparisons of Heterogeneity: a Nonparametric Test for the Multisample Case -- On Synchronized Permutation Tests in Two-Way ANOVA -- Optimal Three-Treatment Response-Adaptive Designs for Phase III Clinical Trials with Binary Responses -- One-Half Fractions of a 23 Experiment for the Logistic Model -- Bayes Estimators of Covariance Parameters and the Influence of Designs -- Optimum Design for Correlated Fields via Covariance Kernel Expansions -- Generalized Probit Model in Design of Dose Finding Experiments -- Optimal Design of Bell Experiments -- A Comparison of Efficient Designs for Choices Between Two Options -- D-optimal Designs for Logistic Regression in Two Variables -- Design of Experiments for Extreme Value Distributions -- A Model Selection Algorithm for Mixture Experiments Including Process Variables -- D-optimal Designs for Nonlinear Models Possessing a Chebyshev Property -- A New Tool for Comparing Adaptive Designs; a Posteriori Efficiency -- Optimal Cutpoint Determination: The Case of One Point Design -- D-Optimal Designs for Regression Models with Length-Biased Poisson Response -- Efficient Sampling Windows for Parameter Estimation in Mixed Effects Models -- Quantile and Probability-level Criteria for Nonlinear Experimental Design -- Optimal Designs for the Exponential Model with Correlated Observations -- Determining the Size of Experiments for the One-way ANOVA Model I for Ordered Categorical Data -- Bayesian D s-Optimal Designs for Generalized Linear Models with Varying Dispersion Parameter -- Some Curiosities in Optimal Designs for Random Slopes -- The Within-B-Swap (BS) Design is A- and D-optimal for Estimating the Linear Contrast for the Treatment Effect in 3-Factorial cDNA Microarray Experiments -- D-optimal Designs and Equidistant Designs for Stationary Processes -- Optimal Designs for Discriminating among Several Non-Normal Models -- Optimal Orthogonal Three-Level Factorial Designs for Factor Screening and Response Surface Exploration En línea: http://dx.doi.org/10.1007/978-3-7908-1952-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34723 mODa 8 - Advances in Model-Oriented Design and Analysis : Proceedings of the 8th International Workshop in Model-Oriented Design and Analysis held in Almagro, Spain, June 4–8, 2007 [documento electrónico] / SpringerLink (Online service) ; Jesús López-Fidalgo ; Juan Manuel Rodríguez-Díaz ; Ben Torsney . - Heidelberg : Physica-Verlag HD, 2007 . - XVI, 241 p. 27 illus : online resource. - (Contributions to Statistics, ISSN 1431-1968) .
ISBN : 978-3-7908-1952-6
Idioma : Inglés (eng)
Palabras clave: Mathematics Probabilities Statistics Economic theory Probability Theory and Stochastic Processes Statistical Methods for Life Sciences, Medicine, Health Sciences Theory/Quantitative Economics/Mathematical Business/Economics/Mathematical Finance/Insurance Clasificación: 51 Matemáticas Resumen: The volume contains the proceedings of the 8th Workshop on Model-Oriented Design and Analysis. This book offers leading and pioneering work on optimal experimental designs, both from a mathematical/statistical point of view and with regard to real applications. Scientists from all over the world, from Eastern and Western Europe, the USA, Latin-America, Asia and Africa, have contributed to this volume. Primary topics are designs for nonlinear models and applications to experimental medicine Nota de contenido: Recruitment in Multicentre Trials: Prediction and Adjustment -- Optimal Design of Pharmacokinetic Studies Described by Stochastic Differential Equations -- Comparisons of Heterogeneity: a Nonparametric Test for the Multisample Case -- On Synchronized Permutation Tests in Two-Way ANOVA -- Optimal Three-Treatment Response-Adaptive Designs for Phase III Clinical Trials with Binary Responses -- One-Half Fractions of a 23 Experiment for the Logistic Model -- Bayes Estimators of Covariance Parameters and the Influence of Designs -- Optimum Design for Correlated Fields via Covariance Kernel Expansions -- Generalized Probit Model in Design of Dose Finding Experiments -- Optimal Design of Bell Experiments -- A Comparison of Efficient Designs for Choices Between Two Options -- D-optimal Designs for Logistic Regression in Two Variables -- Design of Experiments for Extreme Value Distributions -- A Model Selection Algorithm for Mixture Experiments Including Process Variables -- D-optimal Designs for Nonlinear Models Possessing a Chebyshev Property -- A New Tool for Comparing Adaptive Designs; a Posteriori Efficiency -- Optimal Cutpoint Determination: The Case of One Point Design -- D-Optimal Designs for Regression Models with Length-Biased Poisson Response -- Efficient Sampling Windows for Parameter Estimation in Mixed Effects Models -- Quantile and Probability-level Criteria for Nonlinear Experimental Design -- Optimal Designs for the Exponential Model with Correlated Observations -- Determining the Size of Experiments for the One-way ANOVA Model I for Ordered Categorical Data -- Bayesian D s-Optimal Designs for Generalized Linear Models with Varying Dispersion Parameter -- Some Curiosities in Optimal Designs for Random Slopes -- The Within-B-Swap (BS) Design is A- and D-optimal for Estimating the Linear Contrast for the Treatment Effect in 3-Factorial cDNA Microarray Experiments -- D-optimal Designs and Equidistant Designs for Stationary Processes -- Optimal Designs for Discriminating among Several Non-Normal Models -- Optimal Orthogonal Three-Level Factorial Designs for Factor Screening and Response Surface Exploration En línea: http://dx.doi.org/10.1007/978-3-7908-1952-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34723 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar mODa 9 – Advances in Model-Oriented Design and Analysis / SpringerLink (Online service) ; Alessandra Giovagnoli ; Anthony C. Atkinson ; Bernard Torsney ; Caterina May (2010)
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Título : mODa 9 – Advances in Model-Oriented Design and Analysis : Proceedings of the 9th International Workshop in Model-Oriented Design and Analysis held in Bertinoro, Italy, June 14-18, 2010 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Alessandra Giovagnoli ; Anthony C. Atkinson ; Bernard Torsney ; Caterina May Editorial: Heidelberg : Physica-Verlag HD Fecha de publicación: 2010 Colección: Contributions to Statistics, ISSN 1431-1968 Número de páginas: XXVI, 239 p. 31 illus Il.: online resource ISBN/ISSN/DL: 978-3-7908-2410-0 Idioma : Inglés (eng) Palabras clave: Mathematics Computer mathematics Probabilities Statistics Probability Theory and Stochastic Processes Computational Numerical Analysis Statistics, general Statistical Methods for Life Sciences, Medicine, Health Sciences Engineering, Physics, Science, Chemistry Earth Clasificación: 51 Matemáticas Resumen: The volume contains the proceedings of the 9th Workshop on Model-Oriented Design and Analysis. It offers leading and pioneering work on optimal experimental designs, both from a theoretical point of view and in respect of real applications. Scientists from Eastern and Western Europe, the US, Asia and Africa, are contributors to this volume. Designs for nonlinear models, for discriminating between models, for multivariate data and for applications to medicine are some of the primary topics covered Nota de contenido: Impact of Stratified Randomization in Clinical Trials -- The Non-Uniqueness of Some Designs for Discriminating Between Two Polynomial Models in One Variable -- Covariate Adjusted Designs for Combining Efficiency, Ethics and Randomness in Normal Response Trials -- Split-Plot and Robust Designs: Weighting and Optimization in the Multiple Response Case -- An Improvement in the Lack-of-Fit Optimality of the (Absolutely) Continuous Uniform Design in Respect of Exact Designs -- Optimal Allocation Proportion for a Two-Treatment Clinical Trial Having Correlated Binomial Responses -- Sample Size Determination for Multivariate Performance Analysis with Complex Designs -- Optimal Design for Compositional Data -- Dose Finding Experiments: Responses of Mixed Type -- Pharmacokinetic Studies Described by Stochastic Differential Equations: Optimal Design for Systems with Positive Trajectories -- On Testing Hypotheses in Response-Adaptive Designs Targeting the Best Treatment -- Towards Gaussian Process-based Optimization with Finite Time Horizon -- Optimal Designs for Linear Logistic Test Models -- A Class of Screening Designs Robust to Active Second-Order Effects -- D-Optimal Design for a Five-Parameter Logistic Model -- Sequential Barycentric Interpolation -- Some Considerations on the Fisher Information in Nonlinear Mixed Effects Models -- Designs with High Breakdown Point in Nonlinear Models -- A Note on the Relationship between Two Approaches to Optimal Design under Correlation -- The Role of the Nugget Term in the Gaussian Process Method -- A Bonferroni-Adjusted Trend Testing Method for Excess over Highest Single Agent -- Asymptotic Properties of Adaptive Penalized Optimal Designs over a Finite Space -- Filling and D-optimal Designs for the Correlated Generalized Exponential Model -- Designs for Dose Finding Studies on Safety and Efficacy -- A Radial Scanning Statistic for Selecting Space-filling Designs in Computer Experiments -- Optimal Designs for Two-Colour Microarray Experiments for Estimating Interactions -- Discrimination Between Random and Fixed Effect Logistic Regression Models -- Estimation and Optimal Designing under Latent Variable Models for Paired Comparisons Studies via a Multiplicative Algorithm -- Pointwise Consistency of the Kriging Predictor with Known Mean and Covariance Functions -- Information in a Two-stage Adaptive Optimal Design for Normal Random Variables having a One Parameter Exponential Mean Function En línea: http://dx.doi.org/10.1007/978-3-7908-2410-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33785 mODa 9 – Advances in Model-Oriented Design and Analysis : Proceedings of the 9th International Workshop in Model-Oriented Design and Analysis held in Bertinoro, Italy, June 14-18, 2010 [documento electrónico] / SpringerLink (Online service) ; Alessandra Giovagnoli ; Anthony C. Atkinson ; Bernard Torsney ; Caterina May . - Heidelberg : Physica-Verlag HD, 2010 . - XXVI, 239 p. 31 illus : online resource. - (Contributions to Statistics, ISSN 1431-1968) .
ISBN : 978-3-7908-2410-0
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer mathematics Probabilities Statistics Probability Theory and Stochastic Processes Computational Numerical Analysis Statistics, general Statistical Methods for Life Sciences, Medicine, Health Sciences Engineering, Physics, Science, Chemistry Earth Clasificación: 51 Matemáticas Resumen: The volume contains the proceedings of the 9th Workshop on Model-Oriented Design and Analysis. It offers leading and pioneering work on optimal experimental designs, both from a theoretical point of view and in respect of real applications. Scientists from Eastern and Western Europe, the US, Asia and Africa, are contributors to this volume. Designs for nonlinear models, for discriminating between models, for multivariate data and for applications to medicine are some of the primary topics covered Nota de contenido: Impact of Stratified Randomization in Clinical Trials -- The Non-Uniqueness of Some Designs for Discriminating Between Two Polynomial Models in One Variable -- Covariate Adjusted Designs for Combining Efficiency, Ethics and Randomness in Normal Response Trials -- Split-Plot and Robust Designs: Weighting and Optimization in the Multiple Response Case -- An Improvement in the Lack-of-Fit Optimality of the (Absolutely) Continuous Uniform Design in Respect of Exact Designs -- Optimal Allocation Proportion for a Two-Treatment Clinical Trial Having Correlated Binomial Responses -- Sample Size Determination for Multivariate Performance Analysis with Complex Designs -- Optimal Design for Compositional Data -- Dose Finding Experiments: Responses of Mixed Type -- Pharmacokinetic Studies Described by Stochastic Differential Equations: Optimal Design for Systems with Positive Trajectories -- On Testing Hypotheses in Response-Adaptive Designs Targeting the Best Treatment -- Towards Gaussian Process-based Optimization with Finite Time Horizon -- Optimal Designs for Linear Logistic Test Models -- A Class of Screening Designs Robust to Active Second-Order Effects -- D-Optimal Design for a Five-Parameter Logistic Model -- Sequential Barycentric Interpolation -- Some Considerations on the Fisher Information in Nonlinear Mixed Effects Models -- Designs with High Breakdown Point in Nonlinear Models -- A Note on the Relationship between Two Approaches to Optimal Design under Correlation -- The Role of the Nugget Term in the Gaussian Process Method -- A Bonferroni-Adjusted Trend Testing Method for Excess over Highest Single Agent -- Asymptotic Properties of Adaptive Penalized Optimal Designs over a Finite Space -- Filling and D-optimal Designs for the Correlated Generalized Exponential Model -- Designs for Dose Finding Studies on Safety and Efficacy -- A Radial Scanning Statistic for Selecting Space-filling Designs in Computer Experiments -- Optimal Designs for Two-Colour Microarray Experiments for Estimating Interactions -- Discrimination Between Random and Fixed Effect Logistic Regression Models -- Estimation and Optimal Designing under Latent Variable Models for Paired Comparisons Studies via a Multiplicative Algorithm -- Pointwise Consistency of the Kriging Predictor with Known Mean and Covariance Functions -- Information in a Two-stage Adaptive Optimal Design for Normal Random Variables having a One Parameter Exponential Mean Function En línea: http://dx.doi.org/10.1007/978-3-7908-2410-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33785 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Price Indexes in Time and Space / SpringerLink (Online service) ; Luigi Biggeri ; Guido Ferrari (2010)
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Título : Price Indexes in Time and Space : Methods and Practice Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Luigi Biggeri ; Guido Ferrari Editorial: Heidelberg : Physica-Verlag HD Fecha de publicación: 2010 Colección: Contributions to Statistics, ISSN 1431-1968 Número de páginas: XII, 264 p. 30 illus Il.: online resource ISBN/ISSN/DL: 978-3-7908-2140-6 Idioma : Inglés (eng) Palabras clave: Statistics Econometrics Microeconomics Macroeconomics Economics for Business/Economics/Mathematical Finance/Insurance Macroeconomics/Monetary Economics//Financial Statistical Theory and Methods Clasificación: 51 Matemáticas Resumen: This book deals with the currently most relevant topics in price index numbers theory and practice. The problem of the harmonization of Consumer Price Indexes (CPIs) and the time-space integration of baskets is analyzed at the EU-zone level, with methodological and practical proposals on how to proceed for an overall treatment of the matter. Another issue is comparisons between Purchasing Power Parities (PPPs) and CPIs. Likewise, the construction of sub-indexes for households, economic and social groups is investigated, in order to obtain specific inflation measurement instruments. The book provides evidence from the most updated databases. Among the other issues treated in this book are spatial comparisons of price levels through PPPs and the international comparisons of macroeconomic aggregates, a re-consideration of index numbers theory, the measurement of production in non-market services, deflation problems, and price indexes in financial markets Nota de contenido: Consumer Price Indexes Time-Space Integration -- Are Integration and Comparison Between CPIs and PPPs Feasible? -- Retrospective Approximations of Superlative Price Indexes for Years Where Expenditure Data Is Unavailable -- Harmonized Cross Region and Cross Country CPI Time-Space Integration in the Euro-Zone -- Consumer Price Indexes in Space -- Modelling Spatially Correlated Error Structures in the Time-Space Extrapolation of Purchasing Power Parities -- Price Indexes across Space and Time and the Stochastic Properties of Prices -- Intra-National Price Level Differentials: The Italian Experience -- Subindexes -- Consumer Price Indexes: An Analysis of Heterogeneity Across Sub-Populations -- Price Dispersion: The Case of “Pasta” -- Measuring the Production of Non-Market Services -- Price Indexes in National Accounts -- Total Factor Productivity Surpluses and Purchasing Power Transfers: An Application to the Italian Economy -- Jointly Consistent Price and Quantity Comparisons and the Geo-Logarithmic Family of Price Indexes -- Price Indexes in Financial Markets -- Common Trends in Financial Markets -- An Application of Index Numbers Theory to Interest Rates -- Sector Price Indexes in Financial Markets: Methodological Issues En línea: http://dx.doi.org/10.1007/978-3-7908-2140-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33783 Price Indexes in Time and Space : Methods and Practice [documento electrónico] / SpringerLink (Online service) ; Luigi Biggeri ; Guido Ferrari . - Heidelberg : Physica-Verlag HD, 2010 . - XII, 264 p. 30 illus : online resource. - (Contributions to Statistics, ISSN 1431-1968) .
ISBN : 978-3-7908-2140-6
Idioma : Inglés (eng)
Palabras clave: Statistics Econometrics Microeconomics Macroeconomics Economics for Business/Economics/Mathematical Finance/Insurance Macroeconomics/Monetary Economics//Financial Statistical Theory and Methods Clasificación: 51 Matemáticas Resumen: This book deals with the currently most relevant topics in price index numbers theory and practice. The problem of the harmonization of Consumer Price Indexes (CPIs) and the time-space integration of baskets is analyzed at the EU-zone level, with methodological and practical proposals on how to proceed for an overall treatment of the matter. Another issue is comparisons between Purchasing Power Parities (PPPs) and CPIs. Likewise, the construction of sub-indexes for households, economic and social groups is investigated, in order to obtain specific inflation measurement instruments. The book provides evidence from the most updated databases. Among the other issues treated in this book are spatial comparisons of price levels through PPPs and the international comparisons of macroeconomic aggregates, a re-consideration of index numbers theory, the measurement of production in non-market services, deflation problems, and price indexes in financial markets Nota de contenido: Consumer Price Indexes Time-Space Integration -- Are Integration and Comparison Between CPIs and PPPs Feasible? -- Retrospective Approximations of Superlative Price Indexes for Years Where Expenditure Data Is Unavailable -- Harmonized Cross Region and Cross Country CPI Time-Space Integration in the Euro-Zone -- Consumer Price Indexes in Space -- Modelling Spatially Correlated Error Structures in the Time-Space Extrapolation of Purchasing Power Parities -- Price Indexes across Space and Time and the Stochastic Properties of Prices -- Intra-National Price Level Differentials: The Italian Experience -- Subindexes -- Consumer Price Indexes: An Analysis of Heterogeneity Across Sub-Populations -- Price Dispersion: The Case of “Pasta” -- Measuring the Production of Non-Market Services -- Price Indexes in National Accounts -- Total Factor Productivity Surpluses and Purchasing Power Transfers: An Application to the Italian Economy -- Jointly Consistent Price and Quantity Comparisons and the Geo-Logarithmic Family of Price Indexes -- Price Indexes in Financial Markets -- Common Trends in Financial Markets -- An Application of Index Numbers Theory to Interest Rates -- Sector Price Indexes in Financial Markets: Methodological Issues En línea: http://dx.doi.org/10.1007/978-3-7908-2140-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33783 Ejemplares
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