Results 21 to 30 of about 415,967 (312)
Software Reliability Estimate with Duplicated Components Based on Connection Structure
Cybernetics and Information Technologies, 2014 Reliability testing of complex software at the system level is impossible due to the environmental constraint or the time limitation, so its reliability estimate is often obtained based on the reliability of subsystems or components.
Li Zhen, Tian Junfeng, Zhao Pengyuan
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Regression Function and Noise Variance Tracking Methods for Data Streams with Concept Drift
International Journal of Applied Mathematics and Computer Science, 2018 Two types of heuristic estimators based on Parzen kernels are presented. They are able to estimate the regression function in an incremental manner. The estimators apply two techniques commonly used in concept-drifting data streams, i.e., the forgetting ...
Jaworski Maciej
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VARIANCE PREDICTION FOR POPULATION SIZE ESTIMATION
Image Analysis and Stereology, 2019 Design unbiased estimation of population size by stereological methods is an efficient alternative to automatic computer vision methods, which are generally biased.
Ana Isabel Gomez +2 more
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Noise variance estimation for Kalman filter
E3S Web of Conferences, 2017 In this paper, we propose an algorithm that evaluates noise variance with a numerical integration method. For noise variance estimation, we use Krogh method with a variable integration step.
Beniak Ryszard +2 more
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Bayesian Bootstrap in Multiple Frames
Stats, 2022 Multiple frames are becoming increasingly relevant due to the spread of surveys conducted via registers. In this regard, estimators of population quantities have been proposed, including the multiplicity estimator. In all cases, variance estimation still
Daniela Cocchi +2 more
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Improving the Cavalieri estimator under non-equidistant sampling and dropouts
Image Analysis and Stereology, 2020 Motivated by the stereological problem of volume estimation from parallel section profiles, the so-called Newton-Cotes integral estimators based on random sampling nodes are analyzed.
Mads Stehr, Markus Kiderlen
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The Jackknife Estimate of Variance
The Annals of Statistics, 1981 Tukey's jackknife estimate of variance for a statistic $S(X_1, X_2, \cdots, X_n)$ which is a symmetric function of i.i.d. random variables $X_i$, is investigated using an ANOVA-like decomposition of $S$. It is shown that the jackknife variance estimate tends always to be biased upwards, a theorem to this effect being proved for the natural jackknife ...
Efron, B., Stein, C.
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On the Variance of Subset Sum Estimation [PDF]
, 2007 For high volume data streams and large data warehouses, sampling is used for efficient approximate answers to aggregate queries over selected subsets. Mathematically, we are dealing with a set of weighted items and want to support queries to arbitrary subset sums.
Mario Szegedy, Mikkel Thorup
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Estimation of prediction error variances via Monte Carlo sampling methods using different formulations of the prediction error variance [PDF]
, 2009 peer-reviewedCalculation of the exact prediction error variance covariance matrix is often computationally too demanding, which limits its application in REML algorithms, the calculation of accuracies of estimated breeding values and the control of ...
Veerkamp Roel F +15 more
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Greedy Variance Estimation for the LASSO
Applied Mathematics & Optimization, 2019 Recent results have proven the minimax optimality of LASSO and related algorithms for noisy linear regression. However, these results tend to rely on variance estimators that are inefficient or optimizations that are slower than LASSO itself. We propose an efficient estimator for the noise variance in high dimensional linear regression that is faster ...
Christopher Kennedy, Rachel A. Ward
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