Handbook of Measurement Error Models, Yi, Grace Y ; Delaigle, Aurore ; Gustafson, Paul
Автор: Peacock, Janet L. Название: Oxford handbook of medical statistics 2e ISBN: 0198743580 ISBN-13(EAN): 9780198743583 Издательство: Oxford Academ Рейтинг: Цена: 35890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This new edition of the Oxford Handbook of Medical Statistics provides doctors and medical students with a clear and concise explanation of statistical methods. It is an accessible and thorough account of a complex subject, and the previous edition has been described by readers as a `statistical Bible`.
Автор: Kawachi I. Название: Oxford handbook of public health practice 4e ISBN: 0198800126 ISBN-13(EAN): 9780198800125 Издательство: Oxford Academ Рейтинг: Цена: 38010.00 T Наличие на складе: Заказано в издательстве. Описание: This is the quick, go-to-reference book for public health trainees and practitioners. It distils information from the core disciplines of public health into one concise volume. It is also packed with practical tips on professional competencies and skills development, as well as new emerging topics.
Автор: Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg Название: Handbook of Mixed Membership Models and Their Applications ISBN: 0367330849 ISBN-13(EAN): 9780367330842 Издательство: Taylor&Francis Рейтинг: Цена: 73490.00 T Наличие на складе: Невозможна поставка. Описание: This handbook shows how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application settings, including survey data, population genetics, text analysis, image processing and annotation, and molecular biology.
Автор: Maathuis, Marloes Название: Handbook of Graphical Models ISBN: 0367732602 ISBN-13(EAN): 9780367732608 Издательство: Taylor&Francis Рейтинг: Цена: 63280.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Bolfarine Heleno, de Castro Mбrio, Galea Manuel Название: Regression Models for the Comparison of Measurement Methods ISBN: 3030579344 ISBN-13(EAN): 9783030579340 Издательство: Springer Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an updated account of the regression techniques employed in comparing analytical methods and to test the biases of one method relative to others - a problem commonly found in fields like analytical chemistry, biology, engineering, and medicine.
Автор: Fisher Jr. Название: Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement ISBN: 9811937494 ISBN-13(EAN): 9789811937491 Издательство: Springer Рейтинг: Цена: 37260.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The papers by Jack Stenner included in this book document the technical details of an art and science of measurement that creates new entrepreneurial business opportunities. Jack brought theory, instruments, and data together in ways that are applicable not only in the context of a given test of reading or mathematics ability, but which more importantly catalyzed literacy and numeracy capital in new fungible expressions. Though Jack did not reflect in writing on the inferential, constructive processes in which he engaged, much can be learned by reviewing his work with his accomplishments in mind. A Foreword by Stenner's colleague and co-author on multiple works, William P. Fisher, Jr., provides key clues concerning (a) how Jack's understanding of measurement and its values aligns with social and historical studies of science and technology, and (b) how recent developments in collaborations of psychometricians and metrologists are building on and expanding Jack's accomplishments. This is an open access book.
Автор: Fisher Jr. Название: Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement ISBN: 981193746X ISBN-13(EAN): 9789811937460 Издательство: Springer Рейтинг: Цена: 37260.00 T Наличие на складе: Поставка под заказ. Описание: The papers by Jack Stenner included in this book document the technical details of an art and science of measurement that creates new entrepreneurial business opportunities. Jack brought theory, instruments, and data together in ways that are applicable not only in the context of a given test of reading or mathematics ability, but which more importantly catalyzed literacy and numeracy capital in new fungible expressions. Though Jack did not reflect in writing on the inferential, constructive processes in which he engaged, much can be learned by reviewing his work with his accomplishments in mind. A Foreword by Stenner's colleague and co-author on multiple works, William P. Fisher, Jr., provides key clues concerning (a) how Jack's understanding of measurement and its values aligns with social and historical studies of science and technology, and (b) how recent developments in collaborations of psychometricians and metrologists are building on and expanding Jack's accomplishments. This is an open access book.
Автор: Engelhard Jr., George Название: Invariant Measurement ISBN: 0415871255 ISBN-13(EAN): 9780415871259 Издательство: Taylor&Francis Рейтинг: Цена: 53070.00 T Наличие на складе: Нет в наличии.
Автор: Davidian, Marie Название: Nonlinear Models for Repeated Measurement Data ISBN: 0412983419 ISBN-13(EAN): 9780412983412 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Нет в наличии.
Автор: Grace Y. Yi Название: Statistical Analysis with Measurement Error or Misclassification ISBN: 1493982575 ISBN-13(EAN): 9781493982578 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Поставка под заказ. Описание: This monograph on measurement error and misclassification covers a broad range of problems and emphasizes unique features in modeling and analyzing problems arising from medical research and epidemiological studies. Many measurement error and misclassification problems have been addressed in various fields over the years as well as with a wide spectrum of data, including event history data (such as survival data and recurrent event data), correlated data (such as longitudinal data and clustered data), multi-state event data, and data arising from case-control studies. Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application brings together assorted methods in a single text and provides an update of recent developments for a variety of settings. Measurement error effects and strategies of handling mismeasurement for different models are closely examined in combination with applications to specific problems. Readers with diverse backgrounds and objectives can utilize this text. Familiarity with inference methods—such as likelihood and estimating function theory—or modeling schemes in varying settings—such as survival analysis and longitudinal data analysis—can result in a full appreciation of the material, but it is not essential since each chapter provides basic inference frameworks and background information on an individual topic to ease the access of the material. The text is presented in a coherent and self-contained manner and highlights the essence of commonly used modeling and inference methods. This text can serve as a reference book for researchers interested in statistical methodology for handling data with measurement error or misclassification; as a textbook for graduate students, especially for those majoring in statistics and biostatistics; or as a book for applied statisticians whose interest focuses on analysis of error-contaminated data. Grace Y. Yi is Professor of Statistics and University Research Chair at the University of Waterloo. She is the 2010 winner of the CRM-SSC Prize, an honor awarded in recognition of a statistical scientist's professional accomplishments in research during the first 15 years after having received a doctorate. She is a Fellow of the American Statistical Association and an Elected Member of the International Statistical Institute.
Автор: Grace Y. Yi Название: Statistical Analysis with Measurement Error or Misclassification ISBN: 1493966383 ISBN-13(EAN): 9781493966387 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Inference Framework and Method.- Measurement Error and Misclassification: Introduction.- Survival Data with Measurement Error.- Recurrent Event Data with Measurement Error.- Longitudinal Data with Covariate Measurement Error.- Multi-State Models with Error-Prone Data.- Case-Control Studies with Measurement Error or Misclassification.- Analysis with Error in Responses.- Miscellaneous Topics.- Appendix.- References.
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