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 23 for “"Error Statistics"”.
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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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Interpolation of Experimental Error Statistics for Mission Design of GPS Partial Attitude Determination
… as well as receiver quality are varied, with error statistics collected and tabulated for each variation. Experiments with real receivers are conducted in a rural environment as well as an urban environment to validate positioning algorithms and simulations. Raw GPS data is collected, then …
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Adaptive error estimation in linearized ocean general circulation models
… filter, are routinely used in oceanography. The statistics of the model and measurement errors need to be specified a priori. In this study we address the problem of estimating model and measurement error statistics from observations. We start by testing the Myers and Tapley (1976, MT) method of …
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Adaptive error estimation in linearized ocean general circulation models
… filter, are routinely used in oceanography. The statistics of the model and measurement errors need to be specified a priori. In this study we address the problem of estimating model and measurement error statistics from observations. We start by testing the Myers and Tapley (1976, MT) method of …
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Naturalism & Objectivity: Methods and Meta-methods
The error statistical account provides a basic account of evidence and inference. Formally, the approach is a re-interpretation of standard frequentist (Fisherian, Neyman-Pearson) statistics. Informally, it gives an account of inductive inference based on arguing from error, an analog of …
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Stochastic computation for energy-efficient robust ultra-low-power platforms
… achievable energy Emin at the conventional (error-free) MEOP, along with 380x to 850x increase in pre-correction error rate (pe) handling capability, are demonstrated in the presence of voltage and process variations. A stochastic computing-based biomedical processing IC is designed at the …
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Forecasting volatilities in option pricing: An application of Bayesian inference
… of the forecasts are evaluated using error statistics and timing tests."
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Iterative Algebraic Decoding of Codes Defined on Graphs
Furthermore, we propose novel error correction coding schemes, called Generalized Integrated Interleaving and Sparsely Integrated Interleaving codes. In the context of block interleaved codewords, Generalized Integrated Interleaving allows nonuniform redundancy to be shared among all the …
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High resolution determination of the Benioff zone geometry beneath southern Peru
… by comparing the locational estimates and error statistics produced by each, to determine if any one method produces solutions which are more stable than the others. No significant differences were found among three of the four methods considered for this data set. We then compare the …
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Modeling the Cumulative Effects of Forest Fire on Watershed Hydrology: A Post-fire Application of the Distributed Hydrology-Soil-Vegetation Model (DHSVM)
… water years, and the normalized median absolute error statistics were below the target threshold of 50% for each year simulated. This relative success of the calibration efforts is particularly surprising when one considers the significant limitations presented by the lack of any sub-daily or …
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Modeling the Cumulative Effects of Forest Fire on Watershed Hydrology: A Post-fire Application of the Distributed Hydrology-Soil-Vegetation Model (DHSVM)
… water years, and the normalized median absolute error statistics were below the target threshold of 50% for each year simulated. This relative success of the calibration efforts is particularly surprising when one considers the significant limitations presented by the lack of any sub-daily or …
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A Computational Framework for Assessing and Optimizing the Performance of Observational Networks in 4D-Var Data Assimilation
… and real measurements, all with associated error statistics. Data assimilation produces best (a posteriori) estimates of model states and parameter values, and results in considerably improved computer simulations. The acquisition and use of observations in data assimilation raises several …
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THE DEVELOPMENT OF DIATOM-NUTRIENT PALAEOLIMNOLOGICAL INFERENCE MODELS FOR UK LOWLAND RESERVOIRS
… least squares (WAPLS) techniques. Jack-knifed error statistics for the best performing models (WA inverse deshrinking), are comparable to those reported from similar studies. The plankton provides the dominant habitat for diatom growth in reservoirs, thus plankton-only models are also created …
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Animating the EPR-Experiment: Reasoning from Error in the Search for Bell Violations
… mists, and account for potential sources of error that might weaken an otherwise warranted inference. In lieu of such progressive experimental procedures, scientists try to identify the actual inferential work that an existing experiment is capable of providing so as to avoid ascribing to its …
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A population Monte Carlo approach to estimating parametric bidirectional reflectance distribution functions through Markov random field parameter estimation
… to 12 classes of material, classification errors are counted by comparing the 1-nearest-neighbour classification results to the known (manually specified) material classes. Other classification error statistics such as WNN (worst nearest neighbour) are also calculated. The symmetric …
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Analysis and optimization of digital circuit dynamic behavior
… the guardband and complementing a circuit with error detection and correction mechanisms. BTWC deliberately allows timing errors for rare cases and rectifies them with error correction mechanisms. This new design methodology can operate a circuit more efficiently than the traditional way. From …
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Beyond the solar surface: an observational study of solar coronal loops
… colour-colour curve is performed. Monte Carlo statistics based on a Poisson distribution are used to get an error estimate for the curve. Based on these error statistics, the probability of analysed data points corresponding to differing temperatures can be found. The flare loop system studied …
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A Study on Unintentional and Intentional Sources of Variability in Nanometer Scale Digital Circuits
… are tremendously susceptible to inadvertent errors, and circuit modifications required to ensure error resilience incur significant power overheads that are growing alarmingly as transistor dimensions shrink. Technology scaling has thus caused a resounding effect on the performance of digital …
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Design of robust ultra-low power platform for in-silicon machine learning
… this dissertation proposes to employ statistical error compensation (SEC) as an effective error compensation technique. This dissertation makes a contribution to the portfolio of SEC by proposing embedded algorithmic noise tolerance (E-ANT) for low overhead error compensation. E-ANT operates by …
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Toward Error-Statistical Principles of Evidence in Statistical Inference
… is a genuine principle of evidence? and (2) do error probabilities have more than a long-run role? Concisely, I propose that felicitous genuine principles of evidence should provide concrete guidelines on precisely how to examine error probabilities, with respect to a test's aptitude for …
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