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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 260 for “"Measurement Error"”.
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Bayesian Measurement Error Modeling
<p>A mixture measurement error model built upon skew normal distributions and normal distributions is developed to evaluate various impacts of measurement errors to parameter inferences in logistic regressions. Data generated from survey questionnaires are usually error contaminated. We consider …
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Job Mobility and Measurement Error
… of essays investigating job mobility and measurement error. Job mobility, captured here as a change of employer, is a striking feature of the labour market. In empirical work on job mobility, researchers often depend on self-reported tenure data to identify job changes. There may be …
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Poisson regression with Laplace measurement error
… when the covariate is contaminated with Laplace measurement error. This dissertation contains two research projects. In the first project, we propose a weighted least squares estimation procedure that incorporates the first two conditional moments of the response variable given the observed …
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Measurement Error Models in Shape Analysis
<p>This dissertation deals with the problem of measurement error in shape analysis, especially in the Procrustes matching of shapes. Shape data are often prone to measurement error due to the wide sources of errors. In traditional shape analysis measurement error is usually not considered, but …
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Semiparametric Regression Methods with Covariate Measurement Error
… data collected are often measured with error. When mismeasured data is used in a regression analysis, not accounting for the measurement error can lead to incorrect inference about the relationships between the covariates and the response. We investigate measurement error in the …
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Nonlinear models with measurement error: Application to vitamin D
… in the serum. Since we can only obtain noisy measurements of vitamin D intake, we propose a nonlinear measurement error model to describe the dependency of 25(OH)D serum levels on vitamin D intake which accounts for the nuisance day-to-day variance when estimating long-term average intake.</p> …
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Measurement Error in Designed Experiments for Second Order Models
Measurement error (ME) in the factor levels of designed experiments is often overlooked in the planning and analysis of experimental designs. A familiar model for this type of ME, called the Berkson error model, is discussed at length. Previous research has examined the effect of Berkson error on …
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Resilient Navigation through Jamming Detection and Measurement Error Modeling
… estimation require high-integrity measurement error time correlation models to compute estimation error bounds. In response, two new methods to identify high-integrity measurement error time correlation models from experimental data are developed and evaluated in this thesis. As …
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Some New Estimator in Linear Mixed Models with Measurement error
… the observation of variables is subject to measurement errors, and ignoring these in data analysis can lead to inconsistent parameter estimation and invalid statistical inference. Therefore, it is necessary to extend LMMs by taking the effect of measurement errors into account. …
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Inconsistency in Assessment Center Performance: Measurement Error or Something More
… have generally treated inconsistency as measurement error. However, increasing evidence suggests that participants may truly behave differently in different exercises (Lance et al., 2000; Lievens, 2001, 2002), and researchers in personality psychology have argued that consistency may be …
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Monopsony and Measurement Error in the South African Labour Market
… are less than half the above estimates. Despite measurement error being a concern, the low estimates of the elasticity to the firm are unlikely to be biased downwards to the extent that the South African labour market more closely resembles perfect competition. Thus, those designing policy for …
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Weak Identification and Network Measurement Error in Peer Effects Estimation
… of peer effects: weak identification and network measurement error. We show that weak instrument problems arise in moderately dense networks due to rapid averaging, leading to slow convergence rates even when estimators remain consistent. On the measurement error side, we show that additive edge …
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Spatial modeling, covariate measurement error and design issues in environmental epidemiology
… the covariate of interest has been measured with error. We quantify the biases of covariate measurement error, showing that the amount of attenuation depends on the degree of spatial correlation in both the covariate of interest and the assumed random error from the regression model. These results …
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Measurement Error Adjustment in the Offset Variable of a Poisson Model
… teenage car crash counts and consider a measurement error model for the offset as the offset variable is mismeasured. The total teenage population in the county-level is widely used to be a proxy for the teenage driver population when modelling the teenage driver fatality rate. In our …
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Modeling Point Patterns, Measurement Error and Abundance for Exploring Species Distributions
… land use transformation and then we adjust for measurement error, hence misclassification error, to yield the observed abundance classifications. With data on a regular grid over CFR, the analysis is done with a conditionally autoregressive prior on spatial random effects. With around ~ 37000 …
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Spatial Poisson regression : Bayesian approach correcting for measurement error with applications.
Under and over reporting is a common problem in social science research, adverse events associated with drug use, and many other areas of research. Furthermore, overdispersion is another common problem that plagues count data. McBride (2006) proposed a Bayesian Poisson regression model which …
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Development of a Variational Part Model Using In-Process Dimensional Measurement Error
… of CNC machined parts, dynamic machining errors due to on-line disturbances (tool deflection, tool wear, heat deformation, etc.) should be accounted for in some manner. Unless these on-line disturbances are properly handled, it is obvious that a high degree of geometric accuracy is …
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The Effects of Measurement Error on Analysis of Covariance With Multiple Covariates
Made available in DSpace on 2014-12-12T19:54:47Z (GMT). No. of bitstreams: 1 7714988.pdf: 5995058 bytes, checksum: 27f11cf6be4caf8daae09506c90a6d0d (MD5) Previous issue date: 1977
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A study of human measurement error in a controlled experiment for micrometer measurements
… The objective of this thesis is to isolate human measurement error in a physical measuring environment. A secondary objective is to evaluate this measurement error, if successfully isolated, with respect to its effect of biasing statistical quality control tests that describe a manufacturing …
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