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Link de la búsquedaAdvances in Data Analysis / SpringerLink (Online service) ; Reinhold Decker ; Hans-Joachim Lenz (2007)
Título : Advances in Data Analysis : Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8–10, 2006 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Reinhold Decker ; Hans-Joachim Lenz Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2007 Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: XVI, 687 p Il.: online resource ISBN/ISSN/DL: 978-3-540-70981-7 Idioma : Inglés (eng) Palabras clave: Computer science Data structures (Computer science) mining Statistics Science Structures, Cryptology and Information Theory Statistical Methods Mining Knowledge Discovery for Business/Economics/Mathematical Finance/Insurance Life Sciences, Medicine, Health Sciences Social Science, Behavorial Education, Public Policy, Law Clasificación: 51 Matemáticas Nota de contenido: Clustering -- Classification -- Data and Time Series Analysis -- Visualization and Scaling Methods -- Information Retrieval, Data and Web Mining -- Marketing, Management Science and Economics -- Banking and Finance -- Bio- and Health Sciences -- Linguistics and Text Analysis -- Statistical Musicology and Sound Classification -- Archaeology En línea: http://dx.doi.org/10.1007/978-3-540-70981-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34657 Advances in Data Analysis : Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8–10, 2006 [documento electrónico] / SpringerLink (Online service) ; Reinhold Decker ; Hans-Joachim Lenz . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2007 . - XVI, 687 p : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-540-70981-7
Idioma : Inglés (eng)
Palabras clave: Computer science Data structures (Computer science) mining Statistics Science Structures, Cryptology and Information Theory Statistical Methods Mining Knowledge Discovery for Business/Economics/Mathematical Finance/Insurance Life Sciences, Medicine, Health Sciences Social Science, Behavorial Education, Public Policy, Law Clasificación: 51 Matemáticas Nota de contenido: Clustering -- Classification -- Data and Time Series Analysis -- Visualization and Scaling Methods -- Information Retrieval, Data and Web Mining -- Marketing, Management Science and Economics -- Banking and Finance -- Bio- and Health Sciences -- Linguistics and Text Analysis -- Statistical Musicology and Sound Classification -- Archaeology En línea: http://dx.doi.org/10.1007/978-3-540-70981-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34657 Ejemplares
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Título : Advances in Meta-Analysis Tipo de documento: documento electrónico Autores: Pigott, Terri D ; SpringerLink (Online service) Editorial: Boston, MA : Springer US Fecha de publicación: 2012 Colección: Statistics for Social and Behavioral Sciences Número de páginas: XIV, 158 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-2278-5 Idioma : Inglés (eng) Palabras clave: Statistics for Social Science, Behavorial Education, Public Policy, and Law Statistics, general Clasificación: 51 Matemáticas Resumen: Meta-analysis is used increasingly in the social sciences to synthesize research results. As both primary research and the questions addressed by meta-analysis have been grown more complex, meta-analysis techniques have evolved to address these issues. This book covers a number of advances in meta-analysis that are not covered in detail in many introductory books on research synthesis. More specifically, this book discusses the planning of a meta-analysis for complex questions, computing power for tests in meta-analysis, handling missing data in meta-analysis, integrating individual data into a traditional meta-analysis and generalizing from the results of a meta-analysis. For each topic, a fully annotated example is provided with sample computer programs for the major statistical packages. This book assumes a familiarity with basic meta-analytic techniques. The goal of the book is to provide researchers with advanced strategies for strengthening the planning, conduct and interpretations of meta-analysis with complex data. Terri D. Pigott is a Professor of Research Methodology in Loyola University Chicago’s School of Education. Her research interests are in developing new methods for meta-analysis, and the use of meta-analysis in public policy Nota de contenido: Rationale and overview of the book -- Complexities of primary research and meta-analysis -- Fixed, random, and mixed models -- Correlations -- Effect sizes -- Proportion/odds ratio data -- Dependence in primary research and meta-analysis -- Correlations -- Effect sizes (group comparisons and change measures) -- Proportion/odds ratio data -- Bayesian approaches -- Missing data -- Combining across designs -- Qualitative studies in synthesis -- Quality assessments -- Studies on quality weighting -- Summary/Conclusions En línea: http://dx.doi.org/10.1007/978-1-4614-2278-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32788 Advances in Meta-Analysis [documento electrónico] / Pigott, Terri D ; SpringerLink (Online service) . - Boston, MA : Springer US, 2012 . - XIV, 158 p : online resource. - (Statistics for Social and Behavioral Sciences) .
ISBN : 978-1-4614-2278-5
Idioma : Inglés (eng)
Palabras clave: Statistics for Social Science, Behavorial Education, Public Policy, and Law Statistics, general Clasificación: 51 Matemáticas Resumen: Meta-analysis is used increasingly in the social sciences to synthesize research results. As both primary research and the questions addressed by meta-analysis have been grown more complex, meta-analysis techniques have evolved to address these issues. This book covers a number of advances in meta-analysis that are not covered in detail in many introductory books on research synthesis. More specifically, this book discusses the planning of a meta-analysis for complex questions, computing power for tests in meta-analysis, handling missing data in meta-analysis, integrating individual data into a traditional meta-analysis and generalizing from the results of a meta-analysis. For each topic, a fully annotated example is provided with sample computer programs for the major statistical packages. This book assumes a familiarity with basic meta-analytic techniques. The goal of the book is to provide researchers with advanced strategies for strengthening the planning, conduct and interpretations of meta-analysis with complex data. Terri D. Pigott is a Professor of Research Methodology in Loyola University Chicago’s School of Education. Her research interests are in developing new methods for meta-analysis, and the use of meta-analysis in public policy Nota de contenido: Rationale and overview of the book -- Complexities of primary research and meta-analysis -- Fixed, random, and mixed models -- Correlations -- Effect sizes -- Proportion/odds ratio data -- Dependence in primary research and meta-analysis -- Correlations -- Effect sizes (group comparisons and change measures) -- Proportion/odds ratio data -- Bayesian approaches -- Missing data -- Combining across designs -- Qualitative studies in synthesis -- Quality assessments -- Studies on quality weighting -- Summary/Conclusions En línea: http://dx.doi.org/10.1007/978-1-4614-2278-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32788 Ejemplares
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Título : Advances in Theoretical and Applied Statistics Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Nicola Torelli ; Pesarin, Fortunato ; Avner Bar-Hen Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: Studies in Theoretical and Applied Statistics Número de páginas: XIX, 532 p. 78 illus., 41 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-642-35588-2 Idioma : Inglés (eng) Palabras clave: Statistics Statistical Theory and Methods for Business/Economics/Mathematical Finance/Insurance Life Sciences, Medicine, Health Sciences Social Science, Behavorial Education, Public Policy, Law Engineering, Physics, Computer Chemistry Earth Clasificación: 51 Matemáticas Resumen: This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide significant and innovative original contributions and cover a broad range of topics including: statistical theory; methods for time series and spatial data; statistical modeling and data analysis; survey methodology and official statistics; analysis of social, demographic and health data; and economic statistics and econometrics Nota de contenido: Part I Statistical Theory: Default Priors Based on Pseudo-likelihoods for the Poisson-GPD Model (Stefano Cabras) -- Robustness, Dispersion and Local Functions in Data Depth (Mario Romanazzi and Claudio Agostinelli).- New Distribution-free Plotting Position Through an Approximation to the Beta Median (Pasquale Erto and Antonio Lepore) -- On Gaussian Compound Poisson Type Limiting Likelihood Ratio Process (Sergueï Dachian and Ilia Negri) -- Archetypal Symbolic Objects (M.R. D’Esposito, F. Palumbo, G. Ragozini) -- Lorenz Zonoids and Dependence Measures: A Proposal (Emanuela Raffinetti, Paolo Giudici) -- Algebraic Generation of Orthogonal Fractional Factorial Designs (Roberto Fontana and Giovanni Pistone) -- Part II Methods for Time Series, Spatial and Functional Data: A Functional Spatio-Temporal Model for Geometric Shape Analysis (Lara Fontanella, Luigi Ippoliti and Pasquale Valentini) -- Vector Threshold Moving Average Models: Model Specification and Invertibility (Marcella Niglio, Cosimo Damiano Vitale) -- A Regionalization Method for Spatial Functional Data Based on Variogram Models: An Application on Environmental Data (Elvira Romano, Antonio Balzanella, and Rosanna Verde) -- Spectral Decomposition of the AR Metric (Maria Iannario and Domenico Piccolo) -- Nonlinear Nonstationary Model Building by Genetic Algorithms (Francesco Battaglia and Mattheos K. Protopapas) -- Using the Autodependogram in Model Diagnostic Checking (Luca Bagnato and Antonio Punzo) -- Part III Statistical Modelling and Data Analysis: Refined Estimation of a Light Tail: an Application to Environmental Data (M. Ivette Gomes, Lígia Henriques-Rodrigues and Frederico Caeiro) -- Model-based Classification of Clustered Binary Data with Non Ignorable Missing Values (Francesco Lagona) -- A Model for Correlated Paired Comparison Data (Manuela Cattelan and Cristiano Varin) -- Closed Skew Normal Stochastic Frontier Models for Panel Data (Roberto Colombi) -- How far can Man go? (Isabel Fraga Alves, Laurens de Haan and Cláudia Neves) -- Joint Modelling of Longitudinal and Time-to-Event Data: Challenges and Future Directions (Dimitris Rizopoulos) -- A Class of Linear Regression Models for Imprecise Random Elements (Renato Coppi, Maria Brigida Ferraro and Paolo Giordani) -- A Model-based Dimension Reduction Approach to Classification of Gene Expression Data (Luca Scrucca and Avner Bar-Hen) -- Exploiting Multivariate Outcomes in Bayesian Inference for Causal Effects With Noncompliance (Alessandra Mattei, Fabrizia Mealli and Barbara Pacini) -- Fuzzy Composite Indicators: An Application for Measuring Customer Satisfaction (Sergio Zani, Maria Adele Milioli, Isabella Morlini) -- Part IV Survey Methodology and Official Statistics: Symmetric Association Measures in Effect-control Sampling (Riccardo Borgoni, Piero Quatto and Donata Marasini) -- Spatial Misalignment Models for Small Area Estimation: A Simulation Study (Matilde Trevisani and Alan Gelfand) -- Scrambled Response Models Based on Auxiliary Variables (Giancarlo Diana and Pier Francesco Perri) -- Using Auxiliary Information and Nonparametric Methods in Weighting Adjustments (Emilia Rocco) -- Open Source Integer Linear Programming Solvers for Error Localization in Numerical Data (Gianpiero Bianchi, Renato Bruni, Alessandra Reale) -- Integrating Business Surveys: Guidelines and Principles Based on the Belgian Experience (Maria Caterina Bramati) -- Part V Social Statistics and Demography: A Measure of Poverty Based on the Rasch Model (Maria Cristiana Martini and Cristiano Vanin) -- Chronic Poverty in European Mediterranean Countries (Daria Mendola and Annalisa Busetta) -- Do Union Formation and Childbearing Improve Subjective Well-being? An application of Propensity Score Matching to a Bulgarian Banel (Emiliano Sironi and Francesco C. Billari) -- Health and Functional Status in Elderly Patients Living in Residential Facilities in Italy (Giulia Cavrini, Claudia Di Priamo, Lorella Sicuro, Alessandra Battisti, Alessandro Solipaca and Giovanni de Girolamo) -- Dementia in the Elderly:. Health Consequences on Household Members (Egidi V., Salvatore M.A., Gargiulo L., Iannucci L., Sebastiani G., Tinto A.) -- Asset Ownership of the Elderly Across Europe: A multilevel Latent Class Analysis to Segment Countries and Households (Omar Paccagnella and Roberta Varriale) -- The Longevity Pattern in Emilia Romagna, Italy: A Spatio-temporal Analysis (Giulia Roli, Rossella Miglio, Rosella Rettaroli and Alessandra Samoggia) -- Material Deprivation and Incidence of Lung Cancer: A Census Block Analysis (Laura Grisotto, Dolores Catelan and Annibale Biggeri) -- Mining Administrative Health Databases for Epidemiological Purposes: A Case Study on Acute Myocardial Infarctions Diagnoses (Francesca Ieva, Anna Maria Paganoni and Piercesare Secchi) -- Part VI Economic Statistics and Econometrics: Fractional Integration Models for Italian Electricity Zonal Prices (Angelica Gianfreda and Luigi Grossi) -- A Generalized Composite Index Based on the Non-Substitutability of Individual Indicators (Matteo Mazziotta and Adriano Pareto) -- Evaluating the Efficiency of the Italian University Educational Processes Through Frontier Production Methods (Luigi Biggeri, Tiziana Laureti, Luca Secondi) -- Modeling and Forecasting Realized Range Volatility (Massimiliano Caporin and Gabriel G. Velo) -- Clusters and Equivalence Scales (Gustavo De Santis and Mauro Maltagliati) -- The Determinants of Income Dynamics (Gustavo De Santis and Giambattista Salinari) -- Benchmarking and Movement Preservation: Evidences From Real-life and Simulated Series (Tommaso Di Fonzo and Marco Marini) -- Cumulation of Poverty Measures to Meet New Policy Needs (Vijay Verma, Francesca Gagliardi, Caterina Ferretti) -- Long Memory in Integrated and Realized Variance (Eduardo Rossi and Paolo Santucci de Magistris) En línea: http://dx.doi.org/10.1007/978-3-642-35588-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32567 Advances in Theoretical and Applied Statistics [documento electrónico] / SpringerLink (Online service) ; Nicola Torelli ; Pesarin, Fortunato ; Avner Bar-Hen . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013 . - XIX, 532 p. 78 illus., 41 illus. in color : online resource. - (Studies in Theoretical and Applied Statistics) .
ISBN : 978-3-642-35588-2
Idioma : Inglés (eng)
Palabras clave: Statistics Statistical Theory and Methods for Business/Economics/Mathematical Finance/Insurance Life Sciences, Medicine, Health Sciences Social Science, Behavorial Education, Public Policy, Law Engineering, Physics, Computer Chemistry Earth Clasificación: 51 Matemáticas Resumen: This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide significant and innovative original contributions and cover a broad range of topics including: statistical theory; methods for time series and spatial data; statistical modeling and data analysis; survey methodology and official statistics; analysis of social, demographic and health data; and economic statistics and econometrics Nota de contenido: Part I Statistical Theory: Default Priors Based on Pseudo-likelihoods for the Poisson-GPD Model (Stefano Cabras) -- Robustness, Dispersion and Local Functions in Data Depth (Mario Romanazzi and Claudio Agostinelli).- New Distribution-free Plotting Position Through an Approximation to the Beta Median (Pasquale Erto and Antonio Lepore) -- On Gaussian Compound Poisson Type Limiting Likelihood Ratio Process (Sergueï Dachian and Ilia Negri) -- Archetypal Symbolic Objects (M.R. D’Esposito, F. Palumbo, G. Ragozini) -- Lorenz Zonoids and Dependence Measures: A Proposal (Emanuela Raffinetti, Paolo Giudici) -- Algebraic Generation of Orthogonal Fractional Factorial Designs (Roberto Fontana and Giovanni Pistone) -- Part II Methods for Time Series, Spatial and Functional Data: A Functional Spatio-Temporal Model for Geometric Shape Analysis (Lara Fontanella, Luigi Ippoliti and Pasquale Valentini) -- Vector Threshold Moving Average Models: Model Specification and Invertibility (Marcella Niglio, Cosimo Damiano Vitale) -- A Regionalization Method for Spatial Functional Data Based on Variogram Models: An Application on Environmental Data (Elvira Romano, Antonio Balzanella, and Rosanna Verde) -- Spectral Decomposition of the AR Metric (Maria Iannario and Domenico Piccolo) -- Nonlinear Nonstationary Model Building by Genetic Algorithms (Francesco Battaglia and Mattheos K. Protopapas) -- Using the Autodependogram in Model Diagnostic Checking (Luca Bagnato and Antonio Punzo) -- Part III Statistical Modelling and Data Analysis: Refined Estimation of a Light Tail: an Application to Environmental Data (M. Ivette Gomes, Lígia Henriques-Rodrigues and Frederico Caeiro) -- Model-based Classification of Clustered Binary Data with Non Ignorable Missing Values (Francesco Lagona) -- A Model for Correlated Paired Comparison Data (Manuela Cattelan and Cristiano Varin) -- Closed Skew Normal Stochastic Frontier Models for Panel Data (Roberto Colombi) -- How far can Man go? (Isabel Fraga Alves, Laurens de Haan and Cláudia Neves) -- Joint Modelling of Longitudinal and Time-to-Event Data: Challenges and Future Directions (Dimitris Rizopoulos) -- A Class of Linear Regression Models for Imprecise Random Elements (Renato Coppi, Maria Brigida Ferraro and Paolo Giordani) -- A Model-based Dimension Reduction Approach to Classification of Gene Expression Data (Luca Scrucca and Avner Bar-Hen) -- Exploiting Multivariate Outcomes in Bayesian Inference for Causal Effects With Noncompliance (Alessandra Mattei, Fabrizia Mealli and Barbara Pacini) -- Fuzzy Composite Indicators: An Application for Measuring Customer Satisfaction (Sergio Zani, Maria Adele Milioli, Isabella Morlini) -- Part IV Survey Methodology and Official Statistics: Symmetric Association Measures in Effect-control Sampling (Riccardo Borgoni, Piero Quatto and Donata Marasini) -- Spatial Misalignment Models for Small Area Estimation: A Simulation Study (Matilde Trevisani and Alan Gelfand) -- Scrambled Response Models Based on Auxiliary Variables (Giancarlo Diana and Pier Francesco Perri) -- Using Auxiliary Information and Nonparametric Methods in Weighting Adjustments (Emilia Rocco) -- Open Source Integer Linear Programming Solvers for Error Localization in Numerical Data (Gianpiero Bianchi, Renato Bruni, Alessandra Reale) -- Integrating Business Surveys: Guidelines and Principles Based on the Belgian Experience (Maria Caterina Bramati) -- Part V Social Statistics and Demography: A Measure of Poverty Based on the Rasch Model (Maria Cristiana Martini and Cristiano Vanin) -- Chronic Poverty in European Mediterranean Countries (Daria Mendola and Annalisa Busetta) -- Do Union Formation and Childbearing Improve Subjective Well-being? An application of Propensity Score Matching to a Bulgarian Banel (Emiliano Sironi and Francesco C. Billari) -- Health and Functional Status in Elderly Patients Living in Residential Facilities in Italy (Giulia Cavrini, Claudia Di Priamo, Lorella Sicuro, Alessandra Battisti, Alessandro Solipaca and Giovanni de Girolamo) -- Dementia in the Elderly:. Health Consequences on Household Members (Egidi V., Salvatore M.A., Gargiulo L., Iannucci L., Sebastiani G., Tinto A.) -- Asset Ownership of the Elderly Across Europe: A multilevel Latent Class Analysis to Segment Countries and Households (Omar Paccagnella and Roberta Varriale) -- The Longevity Pattern in Emilia Romagna, Italy: A Spatio-temporal Analysis (Giulia Roli, Rossella Miglio, Rosella Rettaroli and Alessandra Samoggia) -- Material Deprivation and Incidence of Lung Cancer: A Census Block Analysis (Laura Grisotto, Dolores Catelan and Annibale Biggeri) -- Mining Administrative Health Databases for Epidemiological Purposes: A Case Study on Acute Myocardial Infarctions Diagnoses (Francesca Ieva, Anna Maria Paganoni and Piercesare Secchi) -- Part VI Economic Statistics and Econometrics: Fractional Integration Models for Italian Electricity Zonal Prices (Angelica Gianfreda and Luigi Grossi) -- A Generalized Composite Index Based on the Non-Substitutability of Individual Indicators (Matteo Mazziotta and Adriano Pareto) -- Evaluating the Efficiency of the Italian University Educational Processes Through Frontier Production Methods (Luigi Biggeri, Tiziana Laureti, Luca Secondi) -- Modeling and Forecasting Realized Range Volatility (Massimiliano Caporin and Gabriel G. Velo) -- Clusters and Equivalence Scales (Gustavo De Santis and Mauro Maltagliati) -- The Determinants of Income Dynamics (Gustavo De Santis and Giambattista Salinari) -- Benchmarking and Movement Preservation: Evidences From Real-life and Simulated Series (Tommaso Di Fonzo and Marco Marini) -- Cumulation of Poverty Measures to Meet New Policy Needs (Vijay Verma, Francesca Gagliardi, Caterina Ferretti) -- Long Memory in Integrated and Realized Variance (Eduardo Rossi and Paolo Santucci de Magistris) En línea: http://dx.doi.org/10.1007/978-3-642-35588-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32567 Ejemplares
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Título : An R and S-PLUS® Companion to Multivariate Analysis Tipo de documento: documento electrónico Autores: Brian S. Everitt ; SpringerLink (Online service) Editorial: London : Springer London Fecha de publicación: 2005 Otro editor: Imprint: Springer Colección: Springer Texts in Statistics, ISSN 1431-875X Número de páginas: XIII, 221 p Il.: online resource ISBN/ISSN/DL: 978-1-84628-124-2 Idioma : Inglés (eng) Palabras clave: Mathematics Probabilities Statistics Probability Theory and Stochastic Processes for Social Science, Behavorial Education, Public Policy, Law Statistical Methods Computing/Statistics Programs Clasificación: 51 Matemáticas Resumen: Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of one or other of the many methods of multivariate analysis, and the use of a suitable software package such as S-PLUS or R. In this book the core multivariate methodology is covered along with some basic theory for each method described. The necessary R and S-PLUS code is given for each analysis in the book, with any differences between the two highlighted. A website with all the datasets and code used in the book can be found at http://biostatistics.iop.kcl.ac.uk/publications/everitt/. Graduate students, and advanced undergraduates on applied statistics courses, especially those in the social sciences, will find this book invaluable in their work, and it will also be useful to researchers outside of statistics who need to deal with the complexities of multivariate data in their work. Brian Everitt is Emeritus Professor of Statistics, King’s College, London Nota de contenido: Multivariate Data and Multivariate Analysis -- Looking at Multivariate Data -- Principal Components Analysis -- Exploratory Factor Analysis -- Multidimensional Scaling and Correspondence Analysis -- Cluster Analysis -- Grouped Multivariate Data: Multivariate Analysis of Variance and Discriminant Function Analysis -- Multiple Regression and Canonical Correlation -- Analysis of Repeated Measures Data En línea: http://dx.doi.org/10.1007/b138954 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35222 An R and S-PLUS® Companion to Multivariate Analysis [documento electrónico] / Brian S. Everitt ; SpringerLink (Online service) . - London : Springer London : Imprint: Springer, 2005 . - XIII, 221 p : online resource. - (Springer Texts in Statistics, ISSN 1431-875X) .
ISBN : 978-1-84628-124-2
Idioma : Inglés (eng)
Palabras clave: Mathematics Probabilities Statistics Probability Theory and Stochastic Processes for Social Science, Behavorial Education, Public Policy, Law Statistical Methods Computing/Statistics Programs Clasificación: 51 Matemáticas Resumen: Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of one or other of the many methods of multivariate analysis, and the use of a suitable software package such as S-PLUS or R. In this book the core multivariate methodology is covered along with some basic theory for each method described. The necessary R and S-PLUS code is given for each analysis in the book, with any differences between the two highlighted. A website with all the datasets and code used in the book can be found at http://biostatistics.iop.kcl.ac.uk/publications/everitt/. Graduate students, and advanced undergraduates on applied statistics courses, especially those in the social sciences, will find this book invaluable in their work, and it will also be useful to researchers outside of statistics who need to deal with the complexities of multivariate data in their work. Brian Everitt is Emeritus Professor of Statistics, King’s College, London Nota de contenido: Multivariate Data and Multivariate Analysis -- Looking at Multivariate Data -- Principal Components Analysis -- Exploratory Factor Analysis -- Multidimensional Scaling and Correspondence Analysis -- Cluster Analysis -- Grouped Multivariate Data: Multivariate Analysis of Variance and Discriminant Function Analysis -- Multiple Regression and Canonical Correlation -- Analysis of Repeated Measures Data En línea: http://dx.doi.org/10.1007/b138954 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35222 Ejemplares
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Título : Applied Mathematical Demography Tipo de documento: documento electrónico Autores: Nathan Keyfitz ; SpringerLink (Online service) ; Hal Caswell Editorial: New York, NY : Springer New York Fecha de publicación: 2005 Colección: Statistics for Biology and Health, ISSN 1431-8776 Número de páginas: XXVI, 558 p. 74 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-27409-6 Idioma : Inglés (eng) Palabras clave: Social sciences Ecology Biomathematics Statistics Environmental Demography Sciences Math. Appl. in Science for Life Sciences, Medicine, Health Science, Behavorial Education, Public Policy, and Law Mathematical Computational Biology Clasificación: 51 Matemáticas Resumen: The third edition of this classic text maintains its focus on applications of demographic models, while extending its scope to matrix models for stage-classified populations. The authors first introduce the life table to describe age-specific mortality, and then use it to develop theory for stable populations and the rate of population increase. This theory is then revisited in the context of matrix models, for stage-classified as well as age-classified populations. Reproductive value and the stable equivalent population are introduced in both contexts, and Markov chain methods are presented to describe the movement of individuals through the life cycle. Applications of mathematical demography to population projection and forecasting, kinship, microdemography, heterogeneity, and multi-state models are considered. The new edition maintains and extends the book’s focus on the consequences of changes in the vital rates. Methods are presented for calculating the sensitivity and elasticity of population growth rate, life expectancy, stable stage distribution, and reproductive value, and for applying those results in comparative studies. Stage-classified models are important in both human demography and population ecology, and this edition features examples from both human and non-human populations. In short, this third edition enlarges considerably the scope and power of demography. It will be an essential resource for students and researchers in demography and in animal and plant population ecology. Nathan Keyfitz is Professor Emeritus of Sociology at Harvard University. After holding positions at Canada’s Dominion Bureau of Statistics, the University of Chicago, and the University of California at Berkeley, he became Andelot Professor of Sociology and Demography at Harvard in 1972. After retiring from Harvard, he became Director of the Population Program at the International Institute for Applied Systems Analysis (IIASA) in Vienna from 1983 to 1993. Keyfitz is a member of the U.S. National Academy of Sciences and the Royal Society of Canada, and a Fellow of the American Academy of Arts and Sciences. He has received the Mindel Sheps Award of the Population Association of America and the Lazarsfeld Award of the American Sociological Association, and was the 1997 Laureate of the International Union for the Scientific Study of Population. He has written 12 books, including Introduction to the Mathematics of Population (1968) and, with Fr. Wilhelm Flieger, SVD, World Population Growth and Aging: Demographic Trends in the Late Twentieth Century (1990). Hal Caswell is a Senior Scientist in the Biology Department of the Woods Hole Oceanographic Institution, where he holds the Robert W. Morse Chair for Excellence in Oceanography. He is a Fellow of the American Academy of Arts and Sciences. He has held a Maclaurin Fellowship from the New Zealand Institute of Mathematics and its Applications and a John Simon Guggenheim Memorial Fellowship. His research focuses on mathematical population ecology with applications in conservation biology. He is the author of Matrix Population Models: Construction, Analysis, and Interpretation (2001). Nota de contenido: Introduction: Population Without Age -- The Life Table -- The Matrix Model Framework -- Mortality Comparisons; The Male-Female Ratio -- Fixed Regime of Mortality and Fertility: The Uses of Stable Theory -- Birth and Population Increase from the Life Table -- Birth and Population Increase from Matrix Population Models -- Reproductive Value from the Life Table -- Reproductive Value from Matrix Models -- Understanding Population Characteristics -- Markov Chains for Individual Life Histories -- Projection and Forecasting -- Perturbation Analysis of Matrix Models -- Some Types of Instability -- The Demographic Theory of Kinship -- Microdemography -- The Multi-State Model -- Family Demography -- Heterogeneity and Selection in Population Analysis -- Epilogue: How Do We Know the Facts of Demography? En línea: http://dx.doi.org/10.1007/b139042 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35118 Applied Mathematical Demography [documento electrónico] / Nathan Keyfitz ; SpringerLink (Online service) ; Hal Caswell . - New York, NY : Springer New York, 2005 . - XXVI, 558 p. 74 illus : online resource. - (Statistics for Biology and Health, ISSN 1431-8776) .
ISBN : 978-0-387-27409-6
Idioma : Inglés (eng)
Palabras clave: Social sciences Ecology Biomathematics Statistics Environmental Demography Sciences Math. Appl. in Science for Life Sciences, Medicine, Health Science, Behavorial Education, Public Policy, and Law Mathematical Computational Biology Clasificación: 51 Matemáticas Resumen: The third edition of this classic text maintains its focus on applications of demographic models, while extending its scope to matrix models for stage-classified populations. The authors first introduce the life table to describe age-specific mortality, and then use it to develop theory for stable populations and the rate of population increase. This theory is then revisited in the context of matrix models, for stage-classified as well as age-classified populations. Reproductive value and the stable equivalent population are introduced in both contexts, and Markov chain methods are presented to describe the movement of individuals through the life cycle. Applications of mathematical demography to population projection and forecasting, kinship, microdemography, heterogeneity, and multi-state models are considered. The new edition maintains and extends the book’s focus on the consequences of changes in the vital rates. Methods are presented for calculating the sensitivity and elasticity of population growth rate, life expectancy, stable stage distribution, and reproductive value, and for applying those results in comparative studies. Stage-classified models are important in both human demography and population ecology, and this edition features examples from both human and non-human populations. In short, this third edition enlarges considerably the scope and power of demography. It will be an essential resource for students and researchers in demography and in animal and plant population ecology. Nathan Keyfitz is Professor Emeritus of Sociology at Harvard University. After holding positions at Canada’s Dominion Bureau of Statistics, the University of Chicago, and the University of California at Berkeley, he became Andelot Professor of Sociology and Demography at Harvard in 1972. After retiring from Harvard, he became Director of the Population Program at the International Institute for Applied Systems Analysis (IIASA) in Vienna from 1983 to 1993. Keyfitz is a member of the U.S. National Academy of Sciences and the Royal Society of Canada, and a Fellow of the American Academy of Arts and Sciences. He has received the Mindel Sheps Award of the Population Association of America and the Lazarsfeld Award of the American Sociological Association, and was the 1997 Laureate of the International Union for the Scientific Study of Population. He has written 12 books, including Introduction to the Mathematics of Population (1968) and, with Fr. Wilhelm Flieger, SVD, World Population Growth and Aging: Demographic Trends in the Late Twentieth Century (1990). Hal Caswell is a Senior Scientist in the Biology Department of the Woods Hole Oceanographic Institution, where he holds the Robert W. Morse Chair for Excellence in Oceanography. He is a Fellow of the American Academy of Arts and Sciences. He has held a Maclaurin Fellowship from the New Zealand Institute of Mathematics and its Applications and a John Simon Guggenheim Memorial Fellowship. His research focuses on mathematical population ecology with applications in conservation biology. He is the author of Matrix Population Models: Construction, Analysis, and Interpretation (2001). Nota de contenido: Introduction: Population Without Age -- The Life Table -- The Matrix Model Framework -- Mortality Comparisons; The Male-Female Ratio -- Fixed Regime of Mortality and Fertility: The Uses of Stable Theory -- Birth and Population Increase from the Life Table -- Birth and Population Increase from Matrix Population Models -- Reproductive Value from the Life Table -- Reproductive Value from Matrix Models -- Understanding Population Characteristics -- Markov Chains for Individual Life Histories -- Projection and Forecasting -- Perturbation Analysis of Matrix Models -- Some Types of Instability -- The Demographic Theory of Kinship -- Microdemography -- The Multi-State Model -- Family Demography -- Heterogeneity and Selection in Population Analysis -- Epilogue: How Do We Know the Facts of Demography? En línea: http://dx.doi.org/10.1007/b139042 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35118 Ejemplares
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