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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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Radiation Risk Estimation

covers nonlinear measurement error models, with a particular emphasis on efficiency of regression parameter estimators. In the second part, risk;

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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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Measurement Error in Nonlinear Models

measurement error for the properties of nonlinear econometric estimators. It investigates the extent to which appropriate econometric techniques can;

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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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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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Nonlinear Models for Repeated Measurement Data

Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies;

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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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Nonlinear Dynamics and Statistics

uncertainty and error: the predictability of nonlinear systems * achieving good nonlinear models * delay reconstructions: dynamics vs;

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Explanatory Item Response Models

This edited volume gives a new and integrated introduction to item response models (predominantly used in measurement applications;

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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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Regression Models as a Tool in Medical Research

, measurement error, and incomplete covariate data. The text then covers the use of regression models to construct risk scores and predictors. It also;

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Regression Models As A Tool In Medical Research

, measurement error, and incomplete covariate data. The text then covers the use of regression models to construct risk scores and predictors. It also;

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Nonlinear Econometric Modeling in Time Series Analysis

Nonlinear Econometric Modeling in Time Series presents the more recent literature on nonlinear time series. Specific topics covered with;

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Proper Orthogonal Decomposition Methods for Partial Differential Equations

numerical methods in increasing computational efficiency, decreasing calculating load and alleviating the accumulation of truncation error in the;

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Nonlinear Error in Ofdm Based Systems

to its high spectral efficiency and inherent capacity to combat Inter Symbol Interference (ISI). However it suffers from nonlinear error;

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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 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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Nonlinear Analysis and Global Optimization

This contributed volume discusses aspects of nonlinear analysis in which optimization plays an important role, as well as topics which are;

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Principles And Practice Of Structural Equation Modelling

factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression;

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Nonlinear Principal Component Analysis and Its Applications

any types of measurement levels by using nonlinear PCA. Sparseness and joint dimension reduction and clustering for nonlinear data, the;

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Smart Process Plants

profitability by minimizing operating costs. Smart Process Plants addresses measurements and the data they generate, error-free process variable;

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Modelling Nonlinear Economic Time Series

This book contains an extensive up-to-date overview of nonlinear time series models and their application to modelling economic;

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