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Showing 1 to 20 of 38 for “"error probabilities"”.
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Evaluation of human error probabilities for post-initiating events
… sites. Treatment of post-initiating event human error probabilities by three human reliability analysis methods are compared to determine the strengths and weaknesses of the methodologies and to identify how they may be best used. A Technique for Human Event Analysis (ATHEANA) has a unique …
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On the evaluation of human error probabilities for post-initiating events
Quantification of human error probabilities (HEPs) for the purpose of human reliability assessment (HRA) is very complex. Because of this complexity, the state of the art includes a variety of HRA models, each with its own objectives, scope and quantification method. In addition to varying methods …
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A Comparison of Various Non-Parametric Discriminating Procedures When the Populations Are Bivariate Exponentials
A comparison of the error probabilities for various discriminating rules is performed in the two population cases when nothing is known of the populations other than they are bivariate negative exponential. In most cases, the absolute difference between the error probabilities for each function was …
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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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Detection of sparse mixtures: fundamental limits and algorithms
… noise from the presence of signal with vanishing error probability? 2. Can one detect the presence of a signal without knowledge of the particular signal distribution or sparsity level, with vanishing error probability? The first question is that of consistent testing, while the second question is …
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Simultaneous process control of several independent quality variables
… objectives of providing a true level of sampling error probabilities for the joint control of several quality variables while also giving problem diagnoses for the quality variables individually. The method is comprised of an afine transformation of the multiple quality variables which creates a …
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Sequential and Non-Sequential Confidence Intervals With Guaranteed Coverage Probability and Beta-Protection (Estimation, Statistics, Minimaxity)
… and let (phi)((mu)) be a function of (mu). Given error probabilities (alpha) and (beta), we require that the interval I satisfy P(,(mu)) (mu) (ELEM) I (GREATERTHEQ) 1 - (alpha) and P(,(mu)) (phi)((mu)) (ELEM) I (LESSTHEQ) (beta) for all (mu).
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Complexity and second moment of the mathematical theory of communication
The performance of an error correcting code is evaluated by its block error probability, code rate, and encoding and decoding complexity. The performance of a series of codes is evaluated by, as the block lengths approach infinity, whether their block error probabilities decay to zero, whether …
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Reliability diagnostic strategies for series systems under imperfect testing
… under imperfect testing. Type I and type II error probabilities are included and single-pass sample paths are required. The model accounts for the expected costs of testing components, false positive termination, and no-defect-found outcomes. Based on the model, a heuristic was developed to …
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Decentralized detection in resource-limited sensor network architectures
… as a tree of bounded height. We show that the error probability decays exponentially fast with the number of nodes under both a Neyman-Pearson criterion and a Bayesian criterion, and provide bounds for the optimal error exponent. Furthermore, we show that under the Neyman-Pearson criterion, the …
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Sequential Confidence Sets With Guaranteed Coverage Probability and Beta-Protection in Multiparameter Families
… time are studied and the limiting values of the error probabilities are found as the parameter approaches the boundary points. Applications are made to the problem of simultaneous confidence sets for the mean and variance of a normal random variable and for its multivariate analogue.
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SEQUENTIAL METHODS FOR NON-PARAMETRIC HYPOTHESIS TESTING
… a few mild assumptions required to control the error probabilities of the algorithm. We then analyze the asymptotic properties of the algorithm along with the behavior of the thresholds. Finally, we derive the upper bounds on the probabilities of false alarm (PFA) and missed detection (PMD) and …
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Evaluation of the economic simplified boiling water reactor human reliability analysis using the SHARP framework
… analysis quantified with general human error probabilities was still a conservative estimate of the human reliability.
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Network lifetime extension, power conservation and interference suppression for next generation mobile wireless networks
… simple design, with closed-form solution for error probabilities. It is shown that these detectors are linearly optimal, if the interference power is unknown. In the area of network lifetime extension, a new approach to minimum energy routing for multihop wireless networks in Rayleigh fading …
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Target detection through quantum illumination
Classical target detection can suffer large error probabilities in noisy and lossy environments when noise photons are mistaken for signal photons reflected from an object. It has been shown theoretically that the correlation between entangled photons can be used to better discriminate between the …
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The application of a single control chart for dependent variables in multivariate quality control
… monitored. This method can result in errors due to not accounting for the effects of correlation. In order to avoid these errors, an alternate approach to multivariate quality control problems is proposed and studied here. The original problem is converted into a univariate problem by …
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A preliminary test estimator for multivariate response functions
… unknown coefficients, and the ε<sub>j</sub> are error vectors such that cov(ε<sub>i</sub>,ε<sub>j</sub>) = σ<sub>ij</sub>I. If X<sub>1j</sub> = X₁ and X<sub>2j</sub> = X₂ , j = 1, 2, …, p, the above is a standard multivariate regression model . Insofar as can be determined, the true relationship …
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Performance of Ds/ssma Communications in Impulsive Channels (Nongaussian, Hard Limiter)
… channels by exact computation of the average bit error probabilities of these two systems. It is seen that hard-limiting correlation receivers can offer substantial improvement over the conventional linear correlator when the additive non-Gaussian channel noise exhibits impulsive behavior. Due to …
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Cause, Composition, and Structure in Language
… and structure-sensitive conditioning of error probabilities consistent with the statistics of the language production environment. Second, I develop a more open-ended inferential challenge, completing fragmentary linguistic inputs such as "____ published won ____." into well-formed …
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Performance analysis for near-field atmospheric optical communications
… in prescribed models. In this thesis, we analyze error probabilities of binary optical communication links operating in the near-field regime, utilizing on-off keying (OOK) or pulse position modulation (PPM) signaling techniques. We also obtain bounds on the capacity of a single-input, …
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