Uses of Class
hep.aida.bin.AbstractBin1D
Packages that use AbstractBin1D
Package
Description
Multisets (bags) with efficient statistics operations defined upon; This package
requires the Colt distribution.
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Uses of AbstractBin1D in hep.aida.bin
Subclasses of AbstractBin1D in hep.aida.binModifier and TypeClassDescriptionclass
1-dimensional rebinnable bin holding double elements; Efficiently computes advanced statistics of data sequences.class
Static and the same as its superclass, except that it can do more: Additionally computes moments of arbitrary integer order, harmonic mean, geometric mean, etc.class
1-dimensional non-rebinnable bin holding double elements with scalable quantile operations defined upon; Using little main memory, quickly computes approximate quantiles over very large data sequences with and even without a-priori knowledge of the number of elements to be filled; Conceptually a strongly lossily compressed multiset (or bag); Guarantees to respect the worst case approximation error specified upon instance construction.class
1-dimensional non-rebinnable bin consuming double elements; Efficiently computes basic statistics of data sequences.Methods in hep.aida.bin with parameters of type AbstractBin1DModifier and TypeMethodDescriptionAbstractBin1D.compareWith
(AbstractBin1D other) Computes the deviations from the receiver's measures to another bin's measures.MightyStaticBin1D.compareWith
(AbstractBin1D other) Computes the deviations from the receiver's measures to another bin's measures.QuantileBin1D.compareWith
(AbstractBin1D other) Computes the deviations from the receiver's measures to another bin's measures.