Uses of Class
hep.aida.tdouble.bin.AbstractDoubleBin1D

Packages that use AbstractDoubleBin1D

hep.aida.tdouble.bin

Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution.

Uses of AbstractDoubleBin1D in hep.aida.tdouble.bin

Subclasses of AbstractDoubleBin1D in hep.aida.tdouble.bin

class	DynamicDoubleBin1D 1-dimensional rebinnable bin holding double elements; Efficiently computes advanced statistics of data sequences.
class	MightyStaticDoubleBin1D 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	QuantileDoubleBin1D 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	StaticDoubleBin1D 1-dimensional non-rebinnable bin consuming double elements; Efficiently computes basic statistics of data sequences.

Methods in hep.aida.tdouble.bin with parameters of type AbstractDoubleBin1D

String	QuantileDoubleBin1D.compareWith(AbstractDoubleBin1D other) Computes the deviations from the receiver's measures to another bin's measures.
String	MightyStaticDoubleBin1D.compareWith(AbstractDoubleBin1D other) Computes the deviations from the receiver's measures to another bin's measures.
String	AbstractDoubleBin1D.compareWith(AbstractDoubleBin1D other) Computes the deviations from the receiver's measures to another bin's measures.