Results 211 to 220 of about 4,689,601 (244)

Breakdown points of t-type regression estimators

Biometrika, 2000
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He, Xuming, Simpson, Douglas G., Wang, Guangyu   +2 more
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On the Breakdown Point of the Hough Transform

2009 Seventh International Conference on Advances in Pattern Recognition, 2009
The degree of robustness of the Hough Transform is examined through its breakdown point by using a noise model called the adversarial noise model. The result thus obtained is compared with existing values in literature and differences are described. An interesting link between the Hough Transform technique and error correction codes is also shown.
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Breakdown Phenomena in Point-to-Point Gaps

IEEE Transactions on Industry Applications, 1976
Measurements with multiple techniques delineating the complete sequence of events from the primary streamer to the formation of the spark channel for relatively small point-to-point gaps are reported. The pulsed potential with 0.4 µs rise time and 1800 µs decay time was applied to the point-to-point gap, of which length was changed from 6 to 14 cm. The
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Calculating the Breakdown Point of Sparse Linear Models

Technometrics, 2009
In robust statistics, the concept of breakdown point was introduced to quantify the robustness of an estimator in a linear regression model. Computing the breakdown point is useful in tuning some robust regression estimators (e.g., the least trimmed squares estimator).
Jung Jin Cho, Yong Chen, Yu Ding 0002
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Spatial Breakdown Point of Variogram Estimators

Mathematical Geology, 1998
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Breakdown points for designed experiments

Journal of Statistical Planning and Inference, 1995
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The sample breakdown points of tests

Journal of Statistical Planning and Inference, 1996
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Breakdown point of Schuster–Narvarte's location estimator

Statistics & Probability Letters, 2000
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The breakdown point of signal subspace estimation

2010 IEEE Sensor Array and Multichannel Signal Processing Workshop, 2010
The breakdown point of signal subspace methods, which is the SNR below which the algorithm's performance deteriorates dramatically, is intimately related to the breakdown point of PCA based signal subspace estimation. We shed new light on this breakdown point for a broad class of signal-plus-noise models, provide a transparent derivation that ...
Raj Rao Nadakuditi, Florent Benaych-Georges   +1 more
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High Breakdown Point Designs

1996
A linear model is assumed where the experimental conditions are given by the experimenter so that they are without gross errors. For this situation we regard h-trimmed Lp-estimators which generalize the least median of squares estimator and the least trimmed squares estimators.
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