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Handbook of Measurement Error Models

Measurement error arises ubiquitously in applications and has been of long-standing concern in a variety of fields, including medical;

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Measurement Error

Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data;

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Measurement Error

Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data;

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Radiation Risk Estimation

This monograph discusses statistics and risk estimates applied to radiation damage under the presence of measurement errors. The first part;

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Measurement Error in Nonlinear Models

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;

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Measurement Error Models

...[the book] provides a complete treatment of an important and frequently ignored topic. Those who work with measurement error models will find;

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Measurement Error

The conference, 'Measurement Error: Econometrics and Practice' was recently hosted by Aston University and organised jointly by researchers;

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Statistical Regression with Measurement Error

Providing a general survey of the theory of measurement error models, including the functional, structural, and ultrastructural models;

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Measurement Error in Longitudinal Data

of social media. Yet our measurements of the world are often imperfect, and longitudinal data is vulnerable to measurement errors which can lead to;

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Partially Linear Models

efficient estimation, bootstrap resampling, censored data analysis, linear measurement error models, nonlinear measurement models, nonlinear and;

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Survey Errors and Survey Costs

social science perspectives on survey design. Considers coverage error, nonresponse error, sampling error, and measurement error, including the;

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Measurement Error in Nonlinear Models

This book analyzes how the choice of a particular disclosure limitation method, namely additive and multiplicative measurement error;

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Latent Class Analysis of Survey Error

methodology, the author examines early models for survey measurement error and identifies their similarities and differences as well as their;

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Measurement Error And Research Design

valuable, Measurement Error and Research Design is motivated by the lack of literature that enhances understanding of measurement error, its;

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Rasch Measurement in the Social Sciences and Quality of Life Research

to deviate from ideal measurement due to measurement error, problematic test or scale design or inadequate construct definitions. Rasch;

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Evaluating Value-added Models for Teacher Accountability

recent applications of VAM, and discusses statistical and measurement issues associated with VAM. Does value-added modeling (VAM) demonstrate the;

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Invariant Measurement

, the detection and measurement of rater errors, and the evaluation of rater accuracy A review of estimation methods, model-data fit, indices;

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Invariant Measurement

, the detection and measurement of rater errors, and the evaluation of rater accuracy A review of estimation methods, model-data fit, indices;

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Economic Modeling and Inference

measurement error, imperfect control, and random utility shocks for inference. When all implications of optimization and equilibrium are imposed;

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Measurement Uncertainties in Science and Technology

In this book, Grabe illustrates the breakdown of traditional error calculus in the face of modern measurement techniques. Revising Gauss;

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Coverage Measurement in the 2010 Census

measurement of net coverage error. For the 2010 census coverage measurement program, the Census Bureau will deemphasize that goal, and is instead;

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Robust Statistical Methods with R, Second Edition

multivariate model contains additional material on visualization of multivariate data in R. A new chapter on robust procedures in measurement error;

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Robust Statistical Methods with R, Second Edition

multivariate model contains additional material on visualization of multivariate data in R. A new chapter on robust procedures in measurement error;

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Nonsampling Error in Surveys

Focuses on three areas of nonsampling survey errors: frame, nonresponse and measurement error. Each one is analyzed by defining key terms;

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Margins of Error

Enhance the quality of survey results by recognizing and reducing measurement errors. Margins of Error: A Study of Reliability in Survey;

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Measurement Error and Misclassification in Statistics and Epidemiology

both continuous and categorical variables, Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian;

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Essential Statistical Inference

research has been eclectic, often with a robustness angle, although Stefanski is also known for research concentrated on measurement error;

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