000			01892nam a22003135i 4500
001			91222
005			20231026103817.0
010			_a978-3-662-65875-8 _dcompra
090			_a91222
100			_a20231023d2022 k||y0pory50 ba
101	0		_aeng
102			_aDE
200	1		_aNovelty, information and surprise _bDocumento eletrónico _fby Günther Palm
205			_a2nd ed.
210			_aBerlin, Heidelberg _cSpringer Berlin Heidelberg _cSpringer _d2022
215			_aXX, 293 p. _cil.
225	2		_aInformation Science and Statistics
303			_aThis revised edition offers an approach to information theory that is more general than the classical approach of Shannon. Classically, information is defined for an alphabet of symbols or for a set of mutually exclusive propositions (a partition of the probability space Ω) with corresponding probabilities adding up to 1. The new definition is given for an arbitrary cover of Ω, i.e. for a set of possibly overlapping propositions. The generalized information concept is called novelty and it is accompanied by two concepts derived from it, designated as information and surprise, which describe "opposite" versions of novelty, information being related more to classical information theory and surprise being related more to the classical concept of statistical significance. In the discussion of these three concepts and their interrelations several properties or classes of covers are defined, which turn out to be lattices. The book also presents applications of these concepts, mostly in statistics and in neuroscience.
606			_aStatistics
606			_aBiomathematics
606			_aBiometry
606			_aPattern recognition systems
680			_aQA276-280
700	1		_aPalm _bGünther
801		0	_aPT _gRPC
856	4		_uhttps://doi.org/10.1007/978-3-662-65875-8
942			_2lcc _cF _n0