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Synthetic Worlds / SpringerLink (Online service) ; Andreas Hebbel-Seeger ; Torsten Reiners ; Schäffer, Dennis (2014)
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Título : Synthetic Worlds : Emerging Technologies in Education and Economics Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Andreas Hebbel-Seeger ; Torsten Reiners ; Schäffer, Dennis Editorial: New York, NY : Springer New York Fecha de publicación: 2014 Otro editor: Imprint: Springer Colección: Integrated Series in Information Systems, ISSN 1571-0270 num. 33 Número de páginas: XX, 415 p. 179 illus., 161 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-6286-6 Idioma : Inglés (eng) Palabras clave: Business Information technology Data processing Computers Education and Management IT in Systems Communication Service Education, general Clasificación: 658 Empresas. Organización de empresas Resumen: Synthetic Worlds, Virtual Worlds, and Alternate Realities are all terms used to describe the phenomenon of computer-based, simulated environments in which users inhabit and interact via avatars. The best-known commercial applications are in the form of electronic gaming, and particularly in massively-multiplayer online role-playing games like World of Warcraft or Second Life. Less known, but possibly more important, is the rapid adoption of platforms in education and business, where Serious Games are being used for training purposes, and even Second Life is being used in many situations that formerly required travel. The editors of this book captures the state of research in the field intended to reflect the rapidly growing yet relatively young market in education and business. The general focus is set on the scientific community but integrates the practical applications for businesses, with papers on information systems, business models, and economics. In six parts, international authors – all experts in their field – discuss the current state-of-the-art of virtual worlds/alternate realities and how the field will develop over the next years. Chapters discuss the influences and impacts in and around virtual worlds. Part four is about education, with a focus on learning environments and experiences, pedagogical models, and the effects on the different roles in the educational sector. The book looks at business models and how companies can participate in virtual worlds while receiving a return on investment, and includes cases and scenarios of integration, from design, implementation to application Nota de contenido: TÜV Nord in 3D: Avatars at Work | From Second Life to the Web 3D -- How Linden Lab Built a Virtual World for Business and Education -- Transforming Ideas to Innovations: A Methodology for 3D Systems Development -- Second Life as a Social Experiment -- Social Navigation for Learning in Immersive Worlds -- 3D Digital Environments for Virtual Teams -- Second Life as a Virtual Lab Environment -- Taking the Distance out of Learning for Students through a Virtual World -- Pedagogical and Psychological Impacts of Teaching and Learning in Virtual Realities -- Virtual World-Building: Implications for Education and Training -- Game-based Elements to Upgrade Bots to Non-Player Characters in Support of Educators -- Collaborative Learning in Virtual Environments -- Business Meets Community in Virtual Berlin -- Supporting Diverse Needs of Learning Groups: Towards Highly Flexible Learning Settings in Collaborative 3D Virtual Environments -- Transforming Ideas to Innovations: A Methodology for 3D Systems Development En línea: http://dx.doi.org/10.1007/978-1-4614-6286-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35896 Synthetic Worlds : Emerging Technologies in Education and Economics [documento electrónico] / SpringerLink (Online service) ; Andreas Hebbel-Seeger ; Torsten Reiners ; Schäffer, Dennis . - New York, NY : Springer New York : Imprint: Springer, 2014 . - XX, 415 p. 179 illus., 161 illus. in color : online resource. - (Integrated Series in Information Systems, ISSN 1571-0270; 33) .
ISBN : 978-1-4614-6286-6
Idioma : Inglés (eng)
Palabras clave: Business Information technology Data processing Computers Education and Management IT in Systems Communication Service Education, general Clasificación: 658 Empresas. Organización de empresas Resumen: Synthetic Worlds, Virtual Worlds, and Alternate Realities are all terms used to describe the phenomenon of computer-based, simulated environments in which users inhabit and interact via avatars. The best-known commercial applications are in the form of electronic gaming, and particularly in massively-multiplayer online role-playing games like World of Warcraft or Second Life. Less known, but possibly more important, is the rapid adoption of platforms in education and business, where Serious Games are being used for training purposes, and even Second Life is being used in many situations that formerly required travel. The editors of this book captures the state of research in the field intended to reflect the rapidly growing yet relatively young market in education and business. The general focus is set on the scientific community but integrates the practical applications for businesses, with papers on information systems, business models, and economics. In six parts, international authors – all experts in their field – discuss the current state-of-the-art of virtual worlds/alternate realities and how the field will develop over the next years. Chapters discuss the influences and impacts in and around virtual worlds. Part four is about education, with a focus on learning environments and experiences, pedagogical models, and the effects on the different roles in the educational sector. The book looks at business models and how companies can participate in virtual worlds while receiving a return on investment, and includes cases and scenarios of integration, from design, implementation to application Nota de contenido: TÜV Nord in 3D: Avatars at Work | From Second Life to the Web 3D -- How Linden Lab Built a Virtual World for Business and Education -- Transforming Ideas to Innovations: A Methodology for 3D Systems Development -- Second Life as a Social Experiment -- Social Navigation for Learning in Immersive Worlds -- 3D Digital Environments for Virtual Teams -- Second Life as a Virtual Lab Environment -- Taking the Distance out of Learning for Students through a Virtual World -- Pedagogical and Psychological Impacts of Teaching and Learning in Virtual Realities -- Virtual World-Building: Implications for Education and Training -- Game-based Elements to Upgrade Bots to Non-Player Characters in Support of Educators -- Collaborative Learning in Virtual Environments -- Business Meets Community in Virtual Berlin -- Supporting Diverse Needs of Learning Groups: Towards Highly Flexible Learning Settings in Collaborative 3D Virtual Environments -- Transforming Ideas to Innovations: A Methodology for 3D Systems Development En línea: http://dx.doi.org/10.1007/978-1-4614-6286-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35896 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Elements of Adaptive Testing / SpringerLink (Online service) ; Wim J. van der Linden ; Cees A. W. Glas (2010)
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Título : Elements of Adaptive Testing Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Wim J. van der Linden ; Cees A. W. Glas Editorial: New York, NY : Springer New York Fecha de publicación: 2010 Colección: Statistics for Social and Behavioral Sciences, ISSN 2199-7357 Número de páginas: XIV, 438 p Il.: online resource ISBN/ISSN/DL: 978-0-387-85461-8 Idioma : Inglés (eng) Palabras clave: Statistics Assessment Psychometrics for Social Science, Behavorial Education, Public Policy, and Law Assessment, Testing Evaluation Clasificación: 51 Matemáticas Resumen: The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update of the test taker’s ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensional abilities, sequencing adaptive test batteries, multistage adaptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing. It also shows how these features are used in the daily operations of several large-scale adaptive testing programs. Wim J. van der Linden is Chief Research Scientist at CTB/McGraw-Hill, Monterey, CA. His specialization is psychometric theory and methods, and he has been an active researcher of adaptive testing throughout his career. For Springer, he wrote Linear Models for Optimal Test Design (2005) and co-edited Handbook of Modern Item ResponseTheory (1997). He is a past president of the Psychometric Society and recipient of lifetime achievement awards from the National Council for Measurement in Education (NCME) and the Association of Test Publishers (ATP). Cees A. W. Glas is Professor of Social Science Research Methodology, University of Twente, the Netherlands. His specialization is psychometric theory and methods, with an emphasis on item response theory, adaptive testing, model fit analysis, and missing data. Professor Glas is a co-author of Educational Evaluation, Assessment, and Monitoring (Swets & Zetlinger, 2003). Currently, he is a member of the Editorial Board of Psychometrika and serves as a technical consultant to the OECD programs for international student assessment (PISA) and the assessment of adult competencies (PIAAC) Nota de contenido: ITEM SELECTION AND ABILITY ESTIMATION -- Item Selection and Ability Estimation in Adaptive Testing -- Constrained Adaptive Testing with Shadow Tests -- Principles of Multidimensional Adaptive Testing -- Multidimensional Adaptive Testing with Kullback#x2013;Leibler Information Item Selection -- Sequencing an Adaptive Test Battery -- APPLICATIONS IN LARGE-SCALE TESTING PROGRAMS -- Adaptive Tests for Measuring Anxiety and Depression -- MATHCAT: A Flexible Testing System in Mathematics Education for Adults -- Implementing the Graduate Management Admission Test Computerized Adaptive Test -- Designing and Implementing a Multistage Adaptive Test: The Uniform CPA Exam -- A Japanese Adaptive Test of English as a Foreign Language: Developmental and Operational Aspects -- ITEM POOL DEVELOPMENT AND MAINTENANCE -- Innovative Items for Computerized Testing -- Designing Item Pools for Adaptive Testing -- Assembling an Inventory of Multistage Adaptive Testing Systems -- ITEM CALIBRATION AND MODEL FIT -- Item Parameter Estimation and Item Fit Analysis -- Estimation of the Parameters in an Item-Cloning Model for Adaptive Testing -- Detecting Person Misfit in Adaptive Testing -- The Investigation of Differential Item Functioning in Adaptive Tests -- MULTISTAGE AND MASTERY TESTING -- Multistage Testing: Issues, Designs, and Research -- Three-Category Adaptive Classification Testing -- Testlet-Based Adaptive Mastery Testing -- Adaptive Mastery Testing Using a Multidimensional IRT Model En línea: http://dx.doi.org/10.1007/978-0-387-85461-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33513 Elements of Adaptive Testing [documento electrónico] / SpringerLink (Online service) ; Wim J. van der Linden ; Cees A. W. Glas . - New York, NY : Springer New York, 2010 . - XIV, 438 p : online resource. - (Statistics for Social and Behavioral Sciences, ISSN 2199-7357) .
ISBN : 978-0-387-85461-8
Idioma : Inglés (eng)
Palabras clave: Statistics Assessment Psychometrics for Social Science, Behavorial Education, Public Policy, and Law Assessment, Testing Evaluation Clasificación: 51 Matemáticas Resumen: The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update of the test taker’s ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensional abilities, sequencing adaptive test batteries, multistage adaptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing. It also shows how these features are used in the daily operations of several large-scale adaptive testing programs. Wim J. van der Linden is Chief Research Scientist at CTB/McGraw-Hill, Monterey, CA. His specialization is psychometric theory and methods, and he has been an active researcher of adaptive testing throughout his career. For Springer, he wrote Linear Models for Optimal Test Design (2005) and co-edited Handbook of Modern Item ResponseTheory (1997). He is a past president of the Psychometric Society and recipient of lifetime achievement awards from the National Council for Measurement in Education (NCME) and the Association of Test Publishers (ATP). Cees A. W. Glas is Professor of Social Science Research Methodology, University of Twente, the Netherlands. His specialization is psychometric theory and methods, with an emphasis on item response theory, adaptive testing, model fit analysis, and missing data. Professor Glas is a co-author of Educational Evaluation, Assessment, and Monitoring (Swets & Zetlinger, 2003). Currently, he is a member of the Editorial Board of Psychometrika and serves as a technical consultant to the OECD programs for international student assessment (PISA) and the assessment of adult competencies (PIAAC) Nota de contenido: ITEM SELECTION AND ABILITY ESTIMATION -- Item Selection and Ability Estimation in Adaptive Testing -- Constrained Adaptive Testing with Shadow Tests -- Principles of Multidimensional Adaptive Testing -- Multidimensional Adaptive Testing with Kullback#x2013;Leibler Information Item Selection -- Sequencing an Adaptive Test Battery -- APPLICATIONS IN LARGE-SCALE TESTING PROGRAMS -- Adaptive Tests for Measuring Anxiety and Depression -- MATHCAT: A Flexible Testing System in Mathematics Education for Adults -- Implementing the Graduate Management Admission Test Computerized Adaptive Test -- Designing and Implementing a Multistage Adaptive Test: The Uniform CPA Exam -- A Japanese Adaptive Test of English as a Foreign Language: Developmental and Operational Aspects -- ITEM POOL DEVELOPMENT AND MAINTENANCE -- Innovative Items for Computerized Testing -- Designing Item Pools for Adaptive Testing -- Assembling an Inventory of Multistage Adaptive Testing Systems -- ITEM CALIBRATION AND MODEL FIT -- Item Parameter Estimation and Item Fit Analysis -- Estimation of the Parameters in an Item-Cloning Model for Adaptive Testing -- Detecting Person Misfit in Adaptive Testing -- The Investigation of Differential Item Functioning in Adaptive Tests -- MULTISTAGE AND MASTERY TESTING -- Multistage Testing: Issues, Designs, and Research -- Three-Category Adaptive Classification Testing -- Testlet-Based Adaptive Mastery Testing -- Adaptive Mastery Testing Using a Multidimensional IRT Model En línea: http://dx.doi.org/10.1007/978-0-387-85461-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33513 Ejemplares
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Título : Looking Back : Proceedings of a Conference in Honor of Paul W. Holland Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Neil J. Dorans ; Sandip Sinharay Editorial: New York, NY : Springer New York Fecha de publicación: 2011 Otro editor: Imprint: Springer Colección: Lecture Notes in Statistics, ISSN 0930-0325 num. 202 Número de páginas: XVIII, 283 p. 37 illus Il.: online resource ISBN/ISSN/DL: 978-1-4419-9389-2 Idioma : Inglés (eng) Palabras clave: Statistics Mathematics Assessment Social sciences Psychometrics for Science, Behavorial Education, Public Policy, and Law Assessment, Testing Evaluation Methodology of the Sciences Mathematics, general Clasificación: 51 Matemáticas Resumen: In 2006, Paul W. Holland retired from Educational Testing Service (ETS) after a career spanning five decades. In 2008, ETS sponsored a conference, Looking Back, honoring his contributions to applied and theoretical psychometrics and statistics. Looking Back attracted a large audience that came to pay homage to Paul Holland and to hear presentations by colleagues who worked with him in special ways over those 40+ years. This book contains papers based on these presentations, as well as vignettes provided by Paul Holland before each section. The papers in this book attest to how Paul Holland's pioneering ideas influenced and continue to influence several fields such as social networks, causal inference, item response theory, equating, and DIF. He applied statistical thinking to a broad range of ETS activities in test development, statistical analysis, test security, and operations. The original papers contained in this book provide historical context for Paul Holland’s work alongside commentary on some of his major contributions by noteworthy statisticians working today Nota de contenido: The Contributions of Paul Holland -- Algebraic Statistics for p1 Random Graph Models -- Mr. Holland's Networks: A Brief Review of the Importance of Statistical Studies of Local Subgraphs or One Small Tune in a Large Opus -- Some of My Favorite Things About Working at ETS -- Bayesian Analysis of a Two-Group Randomized Encouragement Design -- The Role of Nonparametric Analysis in Assessment Modeling: Then and Now -- What Aspects of the Design of an Observational Study Affect Its Sensitivity to Bias From Covariates That Were Not Observed? -- The Origins of Procedures for Using Differential Item Functioning Statistics at Educational Testing Service -- Why I Left ETS and Returned -- Cause or Effect? Validating the Use of Tests for High-Stakes Inferences in Education -- Propensity Score Matching to Extract Latent Experiments From Nonexperimental Data: A Case Study -- Returning to ETS from Berkeley -- Loglinear Models as Smooth Operators: Holland's Statistical Applications and Their Practical Uses -- Chain Equipercentile Equating and Frequency Estimation Equipercentile Equating: Comparisons Based on Real and Simulated Data -- An Observed-Score Equating Framework -- Great Colleagues Make a Great Institution -- An Exploratory Analysis of Charter Schools -- Holland's Advice for the Fourth Generation of Test Theory: Blood Tests Can Be Contests En línea: http://dx.doi.org/10.1007/978-1-4419-9389-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33183 Looking Back : Proceedings of a Conference in Honor of Paul W. Holland [documento electrónico] / SpringerLink (Online service) ; Neil J. Dorans ; Sandip Sinharay . - New York, NY : Springer New York : Imprint: Springer, 2011 . - XVIII, 283 p. 37 illus : online resource. - (Lecture Notes in Statistics, ISSN 0930-0325; 202) .
ISBN : 978-1-4419-9389-2
Idioma : Inglés (eng)
Palabras clave: Statistics Mathematics Assessment Social sciences Psychometrics for Science, Behavorial Education, Public Policy, and Law Assessment, Testing Evaluation Methodology of the Sciences Mathematics, general Clasificación: 51 Matemáticas Resumen: In 2006, Paul W. Holland retired from Educational Testing Service (ETS) after a career spanning five decades. In 2008, ETS sponsored a conference, Looking Back, honoring his contributions to applied and theoretical psychometrics and statistics. Looking Back attracted a large audience that came to pay homage to Paul Holland and to hear presentations by colleagues who worked with him in special ways over those 40+ years. This book contains papers based on these presentations, as well as vignettes provided by Paul Holland before each section. The papers in this book attest to how Paul Holland's pioneering ideas influenced and continue to influence several fields such as social networks, causal inference, item response theory, equating, and DIF. He applied statistical thinking to a broad range of ETS activities in test development, statistical analysis, test security, and operations. The original papers contained in this book provide historical context for Paul Holland’s work alongside commentary on some of his major contributions by noteworthy statisticians working today Nota de contenido: The Contributions of Paul Holland -- Algebraic Statistics for p1 Random Graph Models -- Mr. Holland's Networks: A Brief Review of the Importance of Statistical Studies of Local Subgraphs or One Small Tune in a Large Opus -- Some of My Favorite Things About Working at ETS -- Bayesian Analysis of a Two-Group Randomized Encouragement Design -- The Role of Nonparametric Analysis in Assessment Modeling: Then and Now -- What Aspects of the Design of an Observational Study Affect Its Sensitivity to Bias From Covariates That Were Not Observed? -- The Origins of Procedures for Using Differential Item Functioning Statistics at Educational Testing Service -- Why I Left ETS and Returned -- Cause or Effect? Validating the Use of Tests for High-Stakes Inferences in Education -- Propensity Score Matching to Extract Latent Experiments From Nonexperimental Data: A Case Study -- Returning to ETS from Berkeley -- Loglinear Models as Smooth Operators: Holland's Statistical Applications and Their Practical Uses -- Chain Equipercentile Equating and Frequency Estimation Equipercentile Equating: Comparisons Based on Real and Simulated Data -- An Observed-Score Equating Framework -- Great Colleagues Make a Great Institution -- An Exploratory Analysis of Charter Schools -- Holland's Advice for the Fourth Generation of Test Theory: Blood Tests Can Be Contests En línea: http://dx.doi.org/10.1007/978-1-4419-9389-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33183 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Selected Papers of Frederick Mosteller / SpringerLink (Online service) ; Stephen E. Fienberg ; David C. Hoaglin (2006)
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Título : Selected Papers of Frederick Mosteller Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Stephen E. Fienberg ; David C. Hoaglin Editorial: New York, NY : Springer New York Fecha de publicación: 2006 Colección: Springer Series in Statistics, ISSN 0172-7397 Número de páginas: X, 660 p Il.: online resource ISBN/ISSN/DL: 978-0-387-44956-2 Idioma : Inglés (eng) Palabras clave: Mathematics Public health Probabilities Assessment Statistics Econometrics Probability Theory and Stochastic Processes Health Assessment, Testing Evaluation Statistical Methods for Social Science, Behavorial Education, Policy, Law Clasificación: 51 Matemáticas Resumen: Frederick Mosteller has inspired numerous statisticians and other scientists by his creative approach to statistics and its applications. This volume brings together 40 of his most original and influential papers, capturing the variety and depth of his writings. The editors hope to share these with a new generation of researchers, so that they can build upon his insights and efforts. This volume of selected papers is a companion to the earlier volume A Statistical Model: Frederick Mosteller's Contributions to Statistics, Science, and Public Policy, edited by Stephen E. Fienberg, David C. Hoaglin, William H. Kruskal, and Judith M. Tanur (Springer-Verlag, 1990), and to Mosteller's forthcoming autobiography, which will also be published by Springer-Verlag. It includes a biography and a comprehensive bibliography of Mosteller's books, papers, and other writings. Stephen E. Fienberg is Maurice Falk University Professor of Statistics and Social Science, in the Departments of Statistics and Machine Learning at Carnegie Mellon University, Pittsburgh, PA. David C. Hoaglin is Principal Scientist at Abt Associates Inc., Cambridge, MA Nota de contenido: Frederick Mosteller—A Brief Biography -- Unbiased Estimates for Certain Binomial Sampling Problems with Applications -- On Some Useful “Inefficient” Statistics -- A k-Sample Slippage Test for an Extreme Population -- The Uses and Usefulness of Binomial Probability Paper -- The Education of a Scientific Generalist -- Remarks on the Method of Paired Comparisons: I. The Least Squares Solution Assuming Equal Standard Deviations and Equal Correlations -- Remarks on the Method of Paired Comparisons: II. The Effect of an Aberrant Standard Deviation When Equal Standard Deviations and Equal Correlations Are Assumed -- Remarks on the Method of Paired Comparisons: III. A Test of Significance for Paired Comparisons when Equal Standard Deviations and Equal Correlations Are Assumed -- An Experimental Measurement of Utility -- A Mathematical Model for Simple Learning -- A Model for Stimulus Generalization and Discrimination -- The World Series Competition -- Principles of Sampling -- Stochastic Models for the Learning Process -- Factorial 1/2: A Simple Graphical Treatment -- A Comparison of Eight Models -- Optimal Length of Play for a Binomial Game -- Tables of the Freeman-Tukey Transformations for the Binomial and Poisson Distributions -- Understanding the Birthday Problem -- Recognizing the Maximum of a Sequence -- The Distribution of Sums of Rounded Percentages -- The Expected Coverage to the Left of the ith Order Statistic for Arbitrary Distributions -- Bias and Runs in Dice Throwing and Recording: A Few Million Throws -- An Empirical Study of the Distribution of Primes and Litters of Primes -- A Conversation About Collins -- Statistics and Ethics in Surgery and Anesthesia -- Experimentation and Innovations -- New Statistical Methods in Public Policy. Part I: Experimentation -- Classroom and Platform Performance -- The Clinician’s Responsibility for Helping to Improve the Treatment of Tomorrow’s Patients -- Innovation and Evaluation -- Combination of Results of Stated Precision: I. The Optimistic Case -- Combination of Results of Stated Precision: II. A More Realistic Case -- Allocating Loss of Precision in the Sample Mean to Wrong Weights and Redundancy in Sampling with Replacement from a Finite Population -- Reporting Clinical Trials in General Surgical Journals -- Compensating for Radiation-Related Cancers by Probability of Causation or Assigned Shares -- Methods for Studying Coincidences -- A Modified Random-Effect Procedure for Combining Risk Difference in Sets of 2 * 2 Tables from Clinical Trials -- The Case for Smaller Classes and for Evaluating What Works in the Schoolroom -- Frederick Mosteller and John W. Tukey: A Conversation En línea: http://dx.doi.org/10.1007/978-0-387-44956-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34845 Selected Papers of Frederick Mosteller [documento electrónico] / SpringerLink (Online service) ; Stephen E. Fienberg ; David C. Hoaglin . - New York, NY : Springer New York, 2006 . - X, 660 p : online resource. - (Springer Series in Statistics, ISSN 0172-7397) .
ISBN : 978-0-387-44956-2
Idioma : Inglés (eng)
Palabras clave: Mathematics Public health Probabilities Assessment Statistics Econometrics Probability Theory and Stochastic Processes Health Assessment, Testing Evaluation Statistical Methods for Social Science, Behavorial Education, Policy, Law Clasificación: 51 Matemáticas Resumen: Frederick Mosteller has inspired numerous statisticians and other scientists by his creative approach to statistics and its applications. This volume brings together 40 of his most original and influential papers, capturing the variety and depth of his writings. The editors hope to share these with a new generation of researchers, so that they can build upon his insights and efforts. This volume of selected papers is a companion to the earlier volume A Statistical Model: Frederick Mosteller's Contributions to Statistics, Science, and Public Policy, edited by Stephen E. Fienberg, David C. Hoaglin, William H. Kruskal, and Judith M. Tanur (Springer-Verlag, 1990), and to Mosteller's forthcoming autobiography, which will also be published by Springer-Verlag. It includes a biography and a comprehensive bibliography of Mosteller's books, papers, and other writings. Stephen E. Fienberg is Maurice Falk University Professor of Statistics and Social Science, in the Departments of Statistics and Machine Learning at Carnegie Mellon University, Pittsburgh, PA. David C. Hoaglin is Principal Scientist at Abt Associates Inc., Cambridge, MA Nota de contenido: Frederick Mosteller—A Brief Biography -- Unbiased Estimates for Certain Binomial Sampling Problems with Applications -- On Some Useful “Inefficient” Statistics -- A k-Sample Slippage Test for an Extreme Population -- The Uses and Usefulness of Binomial Probability Paper -- The Education of a Scientific Generalist -- Remarks on the Method of Paired Comparisons: I. The Least Squares Solution Assuming Equal Standard Deviations and Equal Correlations -- Remarks on the Method of Paired Comparisons: II. The Effect of an Aberrant Standard Deviation When Equal Standard Deviations and Equal Correlations Are Assumed -- Remarks on the Method of Paired Comparisons: III. A Test of Significance for Paired Comparisons when Equal Standard Deviations and Equal Correlations Are Assumed -- An Experimental Measurement of Utility -- A Mathematical Model for Simple Learning -- A Model for Stimulus Generalization and Discrimination -- The World Series Competition -- Principles of Sampling -- Stochastic Models for the Learning Process -- Factorial 1/2: A Simple Graphical Treatment -- A Comparison of Eight Models -- Optimal Length of Play for a Binomial Game -- Tables of the Freeman-Tukey Transformations for the Binomial and Poisson Distributions -- Understanding the Birthday Problem -- Recognizing the Maximum of a Sequence -- The Distribution of Sums of Rounded Percentages -- The Expected Coverage to the Left of the ith Order Statistic for Arbitrary Distributions -- Bias and Runs in Dice Throwing and Recording: A Few Million Throws -- An Empirical Study of the Distribution of Primes and Litters of Primes -- A Conversation About Collins -- Statistics and Ethics in Surgery and Anesthesia -- Experimentation and Innovations -- New Statistical Methods in Public Policy. Part I: Experimentation -- Classroom and Platform Performance -- The Clinician’s Responsibility for Helping to Improve the Treatment of Tomorrow’s Patients -- Innovation and Evaluation -- Combination of Results of Stated Precision: I. The Optimistic Case -- Combination of Results of Stated Precision: II. A More Realistic Case -- Allocating Loss of Precision in the Sample Mean to Wrong Weights and Redundancy in Sampling with Replacement from a Finite Population -- Reporting Clinical Trials in General Surgical Journals -- Compensating for Radiation-Related Cancers by Probability of Causation or Assigned Shares -- Methods for Studying Coincidences -- A Modified Random-Effect Procedure for Combining Risk Difference in Sets of 2 * 2 Tables from Clinical Trials -- The Case for Smaller Classes and for Evaluating What Works in the Schoolroom -- Frederick Mosteller and John W. Tukey: A Conversation En línea: http://dx.doi.org/10.1007/978-0-387-44956-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34845 Ejemplares
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Título : Advances in Meta-Analysis Tipo de documento: documento electrónico Autores: Terri D. Pigott ; 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] / Terri D. Pigott ; 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
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar PermalinkPermalinkPermalinkLinking and Aligning Scores and Scales / SpringerLink (Online service) ; Neil J. Dorans ; Mary Pommerich ; Paul W. Holland (2007)
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