Results 261 to 270 of about 84,276 (299)

Bimodal distribution removal

1993
A number of methods for cleaning up noisy training sets to improve generalisation have been proposed recently. Most of these methods perform well on artificially noisy data, but less well on real world data where it is difficult to distinguish between noisy data points from valid but rare data points.
P. Slade, Tamás D. Gedeon
openaire   +1 more source

A Bimodal Distribution on the Sphere

Applied Statistics, 1982
SUMMARY A distribution is proposed as a model for spherical data concentrated about two directions in roughly equal proportions. This distribution, which has convenient computational properties, includes the Fisher distribution as a special case (that in which the modal directions coincide).
openaire   +1 more source

A family of bimodal distributions generated by distributions with positive support

Journal of Applied Statistics, 2021
Bimodal data sets are very common in different areas of knowledge. The crude birth rates data, fish length data, egg diameter data, the eruption and interruption times of the Old Faithful geyser, are examples of this type of data. In this paper, a new class of symmetric density functions for modeling bimodal data as described above are presented.
Guillermo Martínez-Flórez   +3 more
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Bimodal distribution of violent assaults

Forensic Science International, 2006
The aim of the present study was to investigate the relationship between the number of injuries inflicted on victim during violent assault and other variables, characterizing the offender and the assault. The study is based on all the cases that were processed at the City Court of Tallinn, Estonia in 1986 and 1996.
openaire   +2 more sources

Modeling bimodal electromigration failure distributions

Microelectronics Reliability, 2001
Abstract One of the major tasks in reliability methodology is the correct modeling of electromigration failure distributions. Usually the failures within a sample of test devices are caused by a single physical failure mechanism and the resulting failure distribution can be tight-fitted by a single log-normal distribution.
A. H. Fischer   +4 more
openaire   +1 more source

Transformation of Bimodal Probability Distributions Into Possibility Distributions

IEEE Transactions on Instrumentation and Measurement, 2008
At the application level, it is important to be able to define the measurement result as an interval that will contain an important part of the distribution of the measured values, that is, a coverage interval. This practice acknowledged by the International Organization for Standardization (ISO) Guide is a major shift from the probabilistic ...
openaire   +2 more sources

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