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These methods assume that measurement errors vary independently over time.
In the case of tracking moving targets, most methods assume that each source angle is constant during a time interval.
These methods assume that changed bit rates in previous bitplanes have an influence on error rates in the target bitplane.
These methods assume that unknown parameters are the fixed constants, and they define probability using limiting relative frequencies.
Traditional phylogenetic methods assume that genes may only be transferred from parents to offspring, but bacteria have the unusual ability to exchange genes among peers.
These methods assume that receiver bias is absorbed in the common receiver clock offset and bound satellite biases by nominal values.
These methods assume that images are from a "Manhattan" scene with an orthogonal structures and estimate the vanishing points from the scene.
Commonly, microarray data normalization methods assume that relatively few transcripts change from sample to sample [36].
These methods assume that gene expression values are jointly Gaussian distributed and represent conditional dependencies between genes by an undirected graph.
Most existing methods assume that data follow a Gaussian distribution.
Most phylogenetic methods assume that DNA sequences have evolved under stationary, reversible, and homogeneous conditions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com