Handbook Of Measurement Error Models

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Handbook of Measurement Error Models

Grace Y. Yi,Aurore Delaigle,Paul Gustafson
Handbook of Measurement Error Models Book PDF

Author : Grace Y. Yi,Aurore Delaigle,Paul Gustafson
Publisher : CRC Press
Page : 648 pages
File Size : 43,5 Mb
Release : 2021-09-28
Category : Mathematics
ISBN : 9781351588591

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Handbook of Measurement Error Models by Grace Y. Yi,Aurore Delaigle,Paul Gustafson Pdf

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

John P. Buonaccorsi
Measurement Error Book PDF

Author : John P. Buonaccorsi
Publisher : Unknown
Page : 437 pages
File Size : 48,9 Mb
Release : 2010
Category : Electronic
ISBN : OCLC:1132095542

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Measurement Error by John P. Buonaccorsi Pdf

"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 Models

Wayne A. Fuller
Measurement Error Models Book PDF

Author : Wayne A. Fuller
Publisher : John Wiley & Sons
Page : 474 pages
File Size : 54,5 Mb
Release : 2009-09-25
Category : Mathematics
ISBN : 9780470317334

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Measurement Error Models by Wayne A. Fuller Pdf

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 Error in Nonlinear Models

Raymond J. Carroll,David Ruppert,Leonard A. Stefanski,Ciprian M. Crainiceanu
Measurement Error in Nonlinear Models Book PDF

Author : Raymond J. Carroll,David Ruppert,Leonard A. Stefanski,Ciprian M. Crainiceanu
Publisher : CRC Press
Page : 484 pages
File Size : 42,7 Mb
Release : 2006-06-21
Category : Mathematics
ISBN : 9781420010138

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Measurement Error in Nonlinear Models by Raymond J. Carroll,David Ruppert,Leonard A. Stefanski,Ciprian M. Crainiceanu Pdf

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

Measurement Error in Nonlinear Models

Raymond J. Carroll,David Ruppert,Leonard A. Stefanski
Measurement Error in Nonlinear Models Book PDF

Author : Raymond J. Carroll,David Ruppert,Leonard A. Stefanski
Publisher : CRC Press
Page : 334 pages
File Size : 46,5 Mb
Release : 1995-07-06
Category : Mathematics
ISBN : 0412047217

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Measurement Error in Nonlinear Models by Raymond J. Carroll,David Ruppert,Leonard A. Stefanski Pdf

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

Philip J. Brown,Wayne A. Fuller
Statistical Analysis of Measurement Error Models and Applications Book PDF

Author : Philip J. Brown,Wayne A. Fuller
Publisher : American Mathematical Soc.
Page : 248 pages
File Size : 43,7 Mb
Release : 1990
Category : Mathematics
ISBN : 9780821851173

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Statistical Analysis of Measurement Error Models and Applications by Philip J. Brown,Wayne A. Fuller Pdf

Measurement error models describe functional relationships among variables observed, subject to random errors of measurement. Examples include linear and nonlinear errors-in-variables regression models, calibration and inverse regression models, factor analysis models, latent structure models, and simultaneous equations models. Such models are used in a wide variety of areas, including medicine, the life sciences, econometrics, chemometrics, geology, sample surveys, and time series. Although the problem of estimating the parameters of such models exists in most scientific fields, there is a need for more sources that treat measurement error models as an area of statistical methodology.This volume is designed to address that need. This book contains the proceedings of an AMS-IMS-SIAM Joint Summer Research Conference in the Mathematical Sciences on Statistical Analysis of Measurement Error Models and Applications. The conference was held at Humboldt State University in Arcata, California in June 1989. The papers in this volume fall into four broad groups. The first group treats general aspects of the measurement problem and features a discussion of the history of measurement error models. The second group focuses on inference for the nonlinear measurement error model, an active area of research which generated considerable interest at the conference. The third group of papers examines computational aspects of estimation, while the final set studies estimators possessing robustness properties against deviations from common model assumptions.

Measurement Errors in Surveys

Paul P. Biemer,Robert M. Groves,Lars E. Lyberg,Nancy A. Mathiowetz,Seymour Sudman
Measurement Errors in Surveys Book PDF

Author : Paul P. Biemer,Robert M. Groves,Lars E. Lyberg,Nancy A. Mathiowetz,Seymour Sudman
Publisher : John Wiley & Sons
Page : 802 pages
File Size : 51,5 Mb
Release : 2013-08-12
Category : Mathematics
ISBN : 0471692808

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Measurement Errors in Surveys by Paul P. Biemer,Robert M. Groves,Lars E. Lyberg,Nancy A. Mathiowetz,Seymour Sudman Pdf

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.

Handbook of Epidemiology

Wolfgang Ahrens,Iris Pigeot
Handbook of Epidemiology Book PDF

Author : Wolfgang Ahrens,Iris Pigeot
Publisher : Springer Science & Business Media
Page : 1628 pages
File Size : 48,9 Mb
Release : 2007-07-26
Category : Medical
ISBN : 9783540265771

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Handbook of Epidemiology by Wolfgang Ahrens,Iris Pigeot Pdf

The Handbook of Epidemiology provides a comprehensive overview of the field and thus bridges the gap between standard textbooks of epidemiology and dispersed publications for specialists that have a narrowed focus on specific areas. It reviews the key issues and methodological approaches pertinent to the field for which the reader pursues an expatiated overview. It thus serves both as a first orientation for the interested reader and as a starting point for an in-depth study of a specific area, as well as a quick reference and recapitulatory overview for the expert. The book includes topics that are usually missing in standard textbooks.

Handbook of Regression Methods

Derek Scott Young
Handbook of Regression Methods Book PDF

Author : Derek Scott Young
Publisher : CRC Press
Page : 507 pages
File Size : 42,9 Mb
Release : 2018-10-03
Category : Mathematics
ISBN : 9781351650748

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Handbook of Regression Methods by Derek Scott Young Pdf

Handbook of Regression Methods concisely covers numerous traditional, contemporary, and nonstandard regression methods. The handbook provides a broad overview of regression models, diagnostic procedures, and inference procedures, with emphasis on how these methods are applied. The organization of the handbook benefits both practitioners and researchers, who seek either to obtain a quick understanding of regression methods for specialized problems or to expand their own breadth of knowledge of regression topics. This handbook covers classic material about simple linear regression and multiple linear regression, including assumptions, effective visualizations, and inference procedures. It presents an overview of advanced diagnostic tests, remedial strategies, and model selection procedures. Finally, many chapters are devoted to a diverse range of topics, including censored regression, nonlinear regression, generalized linear models, and semiparametric regression. Features Presents a concise overview of a wide range of regression topics not usually covered in a single text Includes over 80 examples using nearly 70 real datasets, with results obtained using R Offers a Shiny app containing all examples, thus allowing access to the source code and the ability to interact with the analyses

Measurement Error in Nonlinear Models

Raymond J. Carroll,David Ruppert,Leonard A. Stefanski,Ciprian M. Crainiceanu
Measurement Error in Nonlinear Models Book PDF

Author : Raymond J. Carroll,David Ruppert,Leonard A. Stefanski,Ciprian M. Crainiceanu
Publisher : Chapman and Hall/CRC
Page : 0 pages
File Size : 52,6 Mb
Release : 2006-06-21
Category : Mathematics
ISBN : 1584886331

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Measurement Error in Nonlinear Models by Raymond J. Carroll,David Ruppert,Leonard A. Stefanski,Ciprian M. Crainiceanu Pdf

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 extensively updated to offer the most comprehensive and up-to-date survey of measurement error models currently available. What’s new in the Second Edition? · Greatly expanded discussion and applications of Bayesian computation via Markov Chain Monte Carlo techniques · A new chapter on longitudinal data and mixed models · A thoroughly revised chapter on nonparametric regression and density estimation · A totally new chapter on semiparametric regression · Survival analysis expanded into its own separate chapter · Completely rewritten chapter on score functions · Many more examples and illustrative graphs · Unique data sets compiled and made available online In addition, the authors expanded the background material in Appendix A and integrated the technical material from chapter appendices into a new Appendix B for convenient navigation. Regardless of your field, if you’re looking for the most extensive discussion and review of measurement error models, then Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition is your ideal source.

Statistical Regression with Measurement Error

Chi-Lun Cheng,John W. Van Ness
Statistical Regression with Measurement Error Book PDF

Author : Chi-Lun Cheng,John W. Van Ness
Publisher : Wiley
Page : 280 pages
File Size : 40,8 Mb
Release : 1998-07-14
Category : Mathematics
ISBN : 0471194867

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Statistical Regression with Measurement Error by Chi-Lun Cheng,John W. Van Ness Pdf

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

Chi-Lun Cheng,John W. Van Ness
Statistical Regression with Measurement Error Book PDF

Author : Chi-Lun Cheng,John W. Van Ness
Publisher : Wiley
Page : 0 pages
File Size : 54,6 Mb
Release : 2010-06-28
Category : Mathematics
ISBN : 047071106X

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Statistical Regression with Measurement Error by Chi-Lun Cheng,John W. Van Ness Pdf

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.

Statistical Evaluation of Measurement Errors

Graham Dunn
Statistical Evaluation of Measurement Errors Book PDF

Author : Graham Dunn
Publisher : Wiley
Page : 0 pages
File Size : 47,5 Mb
Release : 2009-10-12
Category : Mathematics
ISBN : 0470682159

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Statistical Evaluation of Measurement Errors by Graham Dunn Pdf

The statistical methods used to evaluate and compare different methods of measurement are a vital common component of all methods of scientific research. This book provides a practically orientated guide to the statistical models used in the evaluation of measurement errors with a wide variety of illustrative examples taken from across the sciences. After introducing basic concepts, such as precision, reproducibility and reliability, a detailed discussion of the sources of variability of measurements and associated variance components models is provided. The central chapters deal with the design and analysis of method comparison studies (concentrating primarily on quantitative measurements) ranging from simple paired comparisons to more complex studies involving three or more methods. This leads on to a review of methods for categorical measures.

Handbook of Econometrics

James J. Heckman,Edward Leamer
Handbook of Econometrics Book PDF

Author : James J. Heckman,Edward Leamer
Publisher : Elsevier
Page : 1013 pages
File Size : 55,8 Mb
Release : 2007-12-13
Category : Business & Economics
ISBN : 9780080556284

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Handbook of Econometrics by James J. Heckman,Edward Leamer Pdf

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 behavior and social interactions. All of the essays in this volume and its companion volume 6B offer guidance to the practitioner on how to apply the methods they discuss to interpret economic data. The authors of the chapters are all leading scholars in the fields they survey and extend. *Part of the renowned Handbooks in Economics Series*Updates and expands the exisiting Handbook of Econometrics volumes*An invaluable reference written by some of the world's leading econometricians.

Handbook of Structural Equation Modeling

Rick H. Hoyle
Handbook of Structural Equation Modeling Book PDF

Author : Rick H. Hoyle
Publisher : Guilford Publications
Page : 801 pages
File Size : 44,6 Mb
Release : 2023-02-17
Category : Business & Economics
ISBN : 9781462544646

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Handbook of Structural Equation Modeling by Rick H. Hoyle Pdf

"This accessible volume presents both the mechanics of structural equation modeling (SEM) and specific SEM strategies and applications. The editor, along with an international group of contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results"--