Global ETD Search
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 74 for “"error model"”.
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The binomial error model applied to time-limit tests
Contains fulltext : mmubn000001_24772260x.pdf (Publisher’s version ) (Open Access)
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Analysis and error model for a two-degrees-of-freedom elastically supported tuned gyro.
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1972.
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Measurement Error in Exposure Assessment: An Error Model and its Impact on Studies on Lung Cancer and Residential Radon Exposure in Germany
… applied. The differentiation between classical error (from assessing radon exposure or packyears) or Berkson error (from using radon exposure instead of alpha dose, from using packyears instead of inhaled dose of smoking carcinogens) was of major importance in this analysis. Estimates of …
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Analysis of a Multi-Aquifer System in the Southern Coastal Plain of Virginia by Trial and Error Model Calibration to Observed Land Subsidence
… One-dimensional vertical compaction modeling is utilized to estimate the total compaction and differentiate which fine-grained confining units or aquifer interbeds are contributing most to total compaction historically and presently. Additionally, properties of the system can be …
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Characterization and Engineering of Error Statistics for Reliable Computation
We make a case for developing statistical error models of nanoscale circuits, employing these for designing robust systems, and engineering error-statistics to enhance the performance of various robust design techniques. A simple additive error model is presented for arithmetic computations. The …
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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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Measurement Error Adjustment in the Offset Variable of a Poisson Model
… with spatially dependent random effects to model the county-level 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 …
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Nonlinear models with measurement error: Application to vitamin D
… for intakes of vitamin D. In our work, we model the association between intake of vitamin D from all sources and the level of 25(OH)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 …
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Methods for enhancing carrier phase GNSS positioning and attitude determination performance.
… resolution performance and carrier phase error modeling. CDGNSS is considered for a broad range of real-time applications which require both a high precision relative positioning and attitude determination system. This is because of the drift-free nature of the GNSS measurement errors and …
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Error modeling of the carpal wrist
… are identical. This thesis investigates the errors that result from those assumptions being violated due to manufacturing and assembly errors. In the non-ideal model, pose error is found by iteratively solving a system of equations describing the output plane position and orientation and …
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Contributions to Modeling and Analysis of Method Comparison Data
… of measurement and none of them is considered error free. The major goals in these studies are to quantify the degree of similarity and agreement between the two methods. The motivation behind the comparison is that if two methods agree well, the cheaper, simpler, or the less invasive among …
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Measurement consensus metric aided lidar localization and mapping
… of a large number of outliers, a nominal error model is required to estimate the measurement consensus. As laser measurement faults are dependent on a large number of operating conditions and a dynamic feature arrangement, the point cloud nominal error model is intractable. In addition to …
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Auto -Calibration of Machine Tools Exploiting Redundancy, Transitivity, and Error Projection
… measurements in estimating parameters of an error model that has been developed for multi-dimensional measurements. A mechanism of decomposing single dimensional measurement into multi-dimensional components is developed and augmented to the original model to allow the use of the augmented …
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Digital calibration of nonlinear memory errors in sigma-delta ADCs
… techniques based on an output-referred error model are proposed to linearize sigma-delta (ΣΔ) modulators. A sequential power series (a special form of Volterra series) is found sufficient to model the nonlinear memory errors in a discrete-time integrator (DTI), which entails the …
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Development of a Low-Cost Navigation System for Autonomous Off -Road Vehicles
… m to 0.5 m with an update rate of 50 Hz. The PVA model-based fusion algorithm can effectively bridge the signal interruption during a GPS signal outage of 30 s. The error model-based fusion algorithm can provide the signals at 50 Hz using the 1 Hz update rate of the complementary Kalman filter.
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Rail Rebound: The Impact of Freight Rails on Regional Development in the United States, 1970-2010
… standard regression, and spatial regression models. The application of spatial lag model, spatial error model, and spatial error model with lag dependence systematically considers the spatial effects and produces more robust results. There are four broad major findings of this research. …
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Machining accuracy enhancement using machine tool error compensation and metrology
… to enhance machining accuracy by machine tool error reduction and workpiece metrology. The error characteristics are studied by building a quasi-static error model. Perturbed forward kinematic model is used for modeling a 5-axis Computer Numerical Control (CNC) machine with one redundant linear …
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The development of new methods for high resolution radio astronomy imaging
… resolution of the images and the quality of the error analysis and statistics used in the detection. This thesis focuses on the development of new methods for high resolution radio astronomy imaging in both of these areas. An implementation of the Maximum Entropy Method (MEM) suitable for …
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Three essays in regional economic modeling
My dissertation is about regional economic modeling for understanding local economy, economic impact analysis and forecasting. In the first essay, I developed a nonspatial version of community policy analysis model for Missouri counties. In my second essay, I introduced space into my model. I …
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Comparison of linear parametric models for predicting fMRI response
In this study, five different linear parametric models including Autoregressive model (ARX), Autoregressive Moving Average Model (ARMAX), Box-Jenkins Model (BJ), Instrument Variable Model (IV) and Prediction Error Model (PEM) were used to predict the fMRI response and their performances compared. …
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