Handbook of Measurement Error Models

Handbook of Measurement Error Models PDF

Author: Grace Y. Yi

Publisher: CRC Press

Published: 2021-09-28

Total Pages: 648

ISBN-13: 1351588591

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Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, including medical research, epidemiological studies, economics, environmental studies, and survey research. While several research monographs are available to summarize methods and strategies of handling different measurement error problems, research in this area continues to attract extensive attention. The Handbook of Measurement Error Models provides overviews of various topics on measurement error problems. It collects carefully edited chapters concerning issues of measurement error and evolving statistical methods, with a good balance of methodology and applications. It is prepared for readers who wish to start research and gain insights into challenges, methods, and applications related to error-prone data. It also serves as a reference text on statistical methods and applications pertinent to measurement error models, for researchers and data analysts alike. Features: Provides an account of past development and modern advancement concerning measurement error problems Highlights the challenges induced by error-contaminated data Introduces off-the-shelf methods for mitigating deleterious impacts of measurement error Describes state-of-the-art strategies for conducting in-depth research

Measurement Error Models

Measurement Error Models PDF

Author: Wayne A. Fuller

Publisher: John Wiley & Sons

Published: 2009-09-25

Total Pages: 474

ISBN-13: 0470317337

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The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "The effort of Professor Fuller is commendable . . . [the book] provides a complete treatment of an important and frequently ignored topic. Those who work with measurement error models will find it valuable. It is the fundamental book on the subject, and statisticians will benefit from adding this book to their collection or to university or departmental libraries." -Biometrics "Given the large and diverse literature on measurement error/errors-in-variables problems, Fuller's book is most welcome. Anyone with an interest in the subject should certainly have this book." -Journal of the American Statistical Association "The author is to be commended for providing a complete presentation of a very important topic. Statisticians working with measurement error problems will benefit from adding this book to their collection." -Technometrics " . . . this book is a remarkable achievement and the product of impressive top-grade scholarly work." -Journal of Applied Econometrics Measurement Error Models offers coverage of estimation for situations where the model variables are observed subject to measurement error. Regression models are included with errors in the variables, latent variable models, and factor models. Results from several areas of application are discussed, including recent results for nonlinear models and for models with unequal variances. The estimation of true values for the fixed model, prediction of true values under the random model, model checks, and the analysis of residuals are addressed, and in addition, procedures are illustrated with data drawn from nearly twenty real data sets.

Measurement Errors in Surveys

Measurement Errors in Surveys PDF

Author: Paul P. Biemer

Publisher: John Wiley & Sons

Published: 2013-08-12

Total Pages: 802

ISBN-13: 9780471692805

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WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "This book will be an aid to survey statisticians and to research workers who must work with survey data." –Short Book Reviews, International Statistical Institute Measurement Errors in Surveys documents the current state of the field, reports new research findings, and promotes interdisciplinary exchanges in modeling, assessing, and reducing measurement errors in surveys. Providing a fundamental approach to measurement errors, the book features sections on the questionnaire, respondents and responses, interviewers and other means of data collection, the respondent-interviewer relationship, and the effects of measurement errors on estimation and data analysis.

Measurement Error

Measurement Error PDF

Author: John P. Buonaccorsi

Publisher:

Published: 2010

Total Pages: 437

ISBN-13:

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"Accessible to a broad audience, this book explains how to model measurement error, the effects of ignoring it, and how to correct for it. More applied than most books on measurement error, it describes basic models and methods, their use in a range of application areas, and the associated terminology."--Résumé de l'éditeur

Measurement Error in Nonlinear Models

Measurement Error in Nonlinear Models PDF

Author: Raymond J. Carroll

Publisher: CRC Press

Published: 1995-07-06

Total Pages: 334

ISBN-13: 9780412047213

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This monograph provides an up-to-date discussion of analysis strategies for regression problems in which predictor variables are measured with errors. The analysis of nonlinear regression models includes generalized linear models, transform-both-sides models and quasilikelihood and variance function problems. The text concentrates on the general ideas and strategies of estimation and inference rather than being concerned with a specific problem. Measurement error occurs in many fields, such as biometry, epidemiology and economics. In particular, the book contains a large number of epidemiological examples. An outline of strategies for handling progressively more difficult problems is also provided.

Statistical Analysis of Measurement Error Models and Applications

Statistical Analysis of Measurement Error Models and Applications PDF

Author: Philip J. Brown

Publisher: American Mathematical Soc.

Published: 1990

Total Pages: 262

ISBN-13: 0821851179

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Measurement error models describe functional relationships among variables observed, subject to random errors of measurement. This book treats general aspects of the measurement problem and features a discussion of the history of measurement error models.

Measurement Error in Nonlinear Models

Measurement Error in Nonlinear Models PDF

Author: Raymond J. Carroll

Publisher: CRC Press

Published: 2006-06-21

Total Pages: 484

ISBN-13: 1420010131

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It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition has been revamped and ex

Handbook of Econometrics

Handbook of Econometrics PDF

Author: James Joseph Heckman

Publisher: Elsevier

Published: 2007

Total Pages: 1013

ISBN-13: 0444506314

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As conceived by the founders of the Econometric Society, econometrics is a field that uses economic theory and statistical methods to address empirical problems in economics. It is a tool for empirical discovery and policy analysis. The chapters in this volume embody this vision and either implement it directly or provide the tools for doing so. This vision is not shared by those who view econometrics as a branch of statistics rather than as a distinct field of knowledge that designs methods of inference from data based on models of human choice ...

Statistical Regression with Measurement Error

Statistical Regression with Measurement Error PDF

Author: Chi-Lun Cheng

Publisher: Wiley

Published: 1998-07-14

Total Pages: 280

ISBN-13: 9780471194866

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This book explores measurement error models and discusses functional and structural models as well as the more general ultrastructural model. It offers an intermediate level survey of the field of measurement error models without too much mathematical detail, making the book accessible to a wide range of readers.

Statistical Regression with Measurement Error

Statistical Regression with Measurement Error PDF

Author: Chi-Lun Cheng

Publisher: Wiley

Published: 2010-06-28

Total Pages: 0

ISBN-13: 9780470711064

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Providing a general survey of the theory of measurement error models, including the functional, structural, and ultrastructural models, this book is written in the of the Kendall and Stuart Advanced Theory of Statistics set and, like that series, includes exercises at the end of the chapters. The goal is to emphasize the ideas and practical implications of the theory in a style that does not concentrate on the theorem-proof format.