The series of workshops Case Studies in Bayesian Statistics at Carnegie Mellon University is unique in devoting an entire meeting to extended presentation and discussion of scientific investigations in which statisticians play central roles within integrated, cross- disciplinary teams. The goal has been to elucidate the interplay between Bayesian theory and practice, and thereby identify successful methods and indicate important directions for future research. This volume contains the four invited case studies, with accompanying discussion, and nine contributed papers, from the 4th workshop, which was held September 27-28, 1997. While most of the case studies in this volume come from biomedical research, the reader will also find studies in environmental science and marketing research. Students and teachers of statistics, research statisticians, and investigators from other fields should find a wealth of ideas and methods in this series of case studies.
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Invited Papers: School Choice in NY City: A Bayesian Analysis of an Imperfect Randomized Experiment by J. Barnard, C. Frangakis, J. Hill and D.B. Rubin * Adaptive Bayesian Designs for Dose-Ranging Drug Trials by D.A. Berry, P.Müller, A.P. Grieve, M. Smith, T. Parke, R. Balazek, N. Mitchard and M. Krams * Modeling the Impact of Traffic-Related Air Pollution on Childhood Respitory Illness by N.G. Best, K. Ickstadt, R. Wolpert, S. Cockings, P. Elliot, J. Bennett, A. Bottle and S. Reed * Contributed Papers: A Hierarchical Model for Estimating Distribution Profiles of Soil Texture by P.J. Abbitt and F.J. Breidt * Assessing the Homogeneity of Three Odds Ratios: A Case Study in Small-sample Inference by J.B. Carlin * Modeling Rates of Bone Growth and Loss Using Order-Restricted Inference and Stochastic Change Points by R.B. Evans, J. Sedransk and S.L. Hui * Estimating Genotype Probabilites in Complex Pedigrees by S.A. Fernandez, R.L. Fernando, A.L. Carriquiry and B. Guldbrandtsen * Identifying Carriers of Genetic Modifier Using Nonparametric Bayesian Methods by P.D. Hoff, R.B. Halberg, A. Sheldovsky, W.F. Dove and M.A. Newton * Bayesian Tools for EDA and Model Building: A Brainy Study by S.N. MacEachern and M. Peruggia * Bayesian Protein Structure Prediction by S.C. Schmidler, J.S. Liu and D.L. Brutlag * Bayesian Analysis of Sensory Inputs of a Mobile Robot by P. Sebastiani, M. Ramoni and P. Cohen * Hidden Markov Models for Analysis of Biological Rhythm Data by H. Seltman * Using Prior Opinions to Examine Sample Size in Two Clinical Trials by C. Tsai and K. Chaloner
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Da: Paisleyhaze Books, New Hartford, CT, U.S.A.
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Softcover. Condizione: Gut. Gebraucht - Gut Zustand: Gut, Mängelexemplar, XIV, 436 p. 61 illus. About this book: The series of workshops Case Studies in Bayesian Statistics at Carnegie Mellon University is unique in devoting an entire meeting to extended presentation and discussion of scientific investigations in which statisticians play central roles within integrated, cross- disciplinary teams. The goal has been to elucidate the interplay between Bayesian theory and practice, and thereby identify successful methods and indicate important directions for future research. This volume contains the four invited case studies, with accompanying discussion, and nine contributed papers, from the 4th workshop, which was held September 27-28, 1997. While most of the case studies in this volume come from biomedical research, the reader will also find studies in environmental science and marketing research. Students and teachers of statistics, research statisticians, and investigators from other fields should find a wealth of ideas and methods in this series of case studies. Written for researchers,graduate students. Codice articolo 15094
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The 5th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University campus on September 24-25, 1999. As in the past, the workshop featured both invited and contributed case studies. The former were presented and discussed in detail while the latter were presented in poster format. This volume contains the three invited case studies with the accompanying discussion as well as ten contributed pa pers selected by a refereeing process. The majority of case studies in the volume come from biomedical research. However, the reader will also find studies in education and public policy, environmental pollution, agricul ture, and robotics. INVITED PAPERS The three invited cases studies at the workshop discuss problems in ed ucational policy, clinical trials design, and environmental epidemiology, respectively. 1. In School Choice in NY City: A Bayesian Analysis ofan Imperfect Randomized Experiment J. Barnard, C. Frangakis, J. Hill, and D. Rubin report on the analysis of the data from a randomized study conducted to evaluate the New YorkSchool Choice Scholarship Pro gram. The focus ofthe paper is on Bayesian methods for addressing the analytic challenges posed by extensive non-compliance among study participants and substantial levels of missing data. 2. In Adaptive Bayesian Designs for Dose-Ranging Drug Trials D. Berry, P. Mueller, A. Grieve, M. Smith, T. Parke, R. Blazek, N. 456 pp. Englisch. Codice articolo 9780387951690
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The 5th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University campus on September 24-25, 1999. As in the past, the workshop featured both invited and contributed case studies. The former were presented and discussed in d. Codice articolo 5912373
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Taschenbuch. Condizione: Neu. Case Studies in Bayesian Statistics | Volume V | Constantine Gatsonis (u. a.) | Taschenbuch | Lecture Notes in Statistics | xiv | Englisch | 2001 | Springer | EAN 9780387951690 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 104625578
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The 5th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University campus on September 24-25, 1999. As in the past, the workshop featured both invited and contributed case studies. The former were presented and discussed in detail while the latter were presented in poster format. This volume contains the three invited case studies with the accompanying discussion as well as ten contributed pa pers selected by a refereeing process. The majority of case studies in the volume come from biomedical research. However, the reader will also find studies in education and public policy, environmental pollution, agricul ture, and robotics. INVITED PAPERS The three invited cases studies at the workshop discuss problems in ed ucational policy, clinical trials design, and environmental epidemiology, respectively. 1. In School Choice in NY City: A Bayesian Analysis ofan Imperfect Randomized Experiment J. Barnard, C. Frangakis, J. Hill, and D. Rubin report on the analysis of the data from a randomized study conducted to evaluate the New YorkSchool Choice Scholarship Pro gram. The focus ofthe paper is on Bayesian methods for addressing the analytic challenges posed by extensive non-compliance among study participants and substantial levels of missing data. 2. In Adaptive Bayesian Designs for Dose-Ranging Drug Trials D. Berry, P. Mueller, A. Grieve, M. Smith, T. Parke, R. Blazek, N.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 456 pp. Englisch. Codice articolo 9780387951690
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The 5th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University campus on September 24-25, 1999. As in the past, the workshop featured both invited and contributed case studies. The former were presented and discussed in detail while the latter were presented in poster format. This volume contains the three invited case studies with the accompanying discussion as well as ten contributed pa pers selected by a refereeing process. The majority of case studies in the volume come from biomedical research. However, the reader will also find studies in education and public policy, environmental pollution, agricul ture, and robotics. INVITED PAPERS The three invited cases studies at the workshop discuss problems in ed ucational policy, clinical trials design, and environmental epidemiology, respectively. 1. In School Choice in NY City: A Bayesian Analysis ofan Imperfect Randomized Experiment J. Barnard, C. Frangakis, J. Hill, and D. Rubin report on the analysis of the data from a randomized study conducted to evaluate the New YorkSchool Choice Scholarship Pro gram. The focus ofthe paper is on Bayesian methods for addressing the analytic challenges posed by extensive non-compliance among study participants and substantial levels of missing data. 2. In Adaptive Bayesian Designs for Dose-Ranging Drug Trials D. Berry, P. Mueller, A. Grieve, M. Smith, T. Parke, R. Blazek, N. Codice articolo 9780387951690
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