000			03209nam a22004815i 4500
001			978-88-470-1386-5
003			DE-He213
005			20140220084554.0
007			cr nn 008mamaa
008			110126s2010 it | s |||| 0|eng d
020			_a9788847013865 _9978-88-470-1386-5
024	7		_a10.1007/978-88-470-1386-5 _2doi
050		4	_aQA276-280
072		7	_aUFM _2bicssc
072		7	_aCOM077000 _2bisacsh
082	0	4	_a519.5 _223
100	1		_aMantovan, Pietro. _eeditor.
245	1	0	_aComplex Data Modeling and Computationally Intensive Statistical Methods _h[electronic resource] / _cedited by Pietro Mantovan, Piercesare Secchi.
264		1	_aMilano : _bSpringer Milan, _c2010.
300			_aX, 170p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aContributions to Statistics, _x1431-1968
505	0		_aSpace-time texture analysis in thermal infrared imaging for classification of Raynaud’s Phenomenon -- Mixed-effects modelling of Kevlar fibre failure times through Bayesian non-parametrics -- Space filling and locally optimal designs for Gaussian Universal Kriging -- Exploitation, integration and statistical analysis of the Public Health Database and STEMI Archive in the Lombardia region -- Bootstrap algorithms for variance estimation in ?PS sampling -- Fast Bayesian functional data analysis of basal body temperature -- A parametric Markov chain to model age- and state-dependent wear processes -- Case studies in Bayesian computation using INLA -- A graphical models approach for comparing gene sets -- Predictive densities and prediction limits based on predictive likelihoods -- Computer-intensive conditional inference -- Monte Carlo simulation methods for reliability estimation and failure prognostics.
520			_aThe last years have seen the advent and development of many devices able to record and store an always increasing amount of complex and high dimensional data; 3D images generated by medical scanners or satellite remote sensing, DNA microarrays, real time financial data, system control datasets, .... The analysis of this data poses new challenging problems and requires the development of novel statistical models and computational methods, fueling many fascinating and fast growing research areas of modern statistics. The book offers a wide variety of statistical methods and is addressed to statisticians working at the forefront of statistical analysis.
650		0	_aStatistics.
650		0	_aData mining.
650		0	_aMathematical statistics.
650	1	4	_aStatistics.
650	2	4	_aStatistics and Computing/Statistics Programs.
650	2	4	_aStatistical Theory and Methods.
650	2	4	_aData Mining and Knowledge Discovery.
700	1		_aSecchi, Piercesare. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9788847013858
830		0	_aContributions to Statistics, _x1431-1968
856	4	0	_uhttp://dx.doi.org/10.1007/978-88-470-1386-5
912			_aZDB-2-SMA
999			_c113107 _d113107