000			04218nam a22004935i 4500
001			978-0-387-24555-3
003			DE-He213
005			20250710083931.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387245553 _a99780387245553
024	7		_a10.1007/b105993 _2doi
082	0	4	_a519.2 _223
100	1		_aDuchesne, Pierre. _eeditor.
245	1	0	_aStatistical Modeling and Analysis for Complex Data Problems _h[recurso electrónico] / _cedited by Pierre Duchesne, Bruno RÉMillard.
264		1	_aBoston, MA : _bSpringer US, _c2005.
300			_aXIV, 323 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aDependence Properties of Meta-Elliptical Distributions -- The Statistical Significance of Palm Beach County -- Bayesian Functional Estimation of Hazard Rates for Randomly Right Censored Data Using Fourier Series Methods -- Conditions for the Validity of F-Ratio Tests for Treatment and Carryover Effects in Crossover Designs -- Bias in Estimating the Variance of K-Fold Cross-Validation -- Effective Construction of Modified Histograms in Higher Dimensions -- On Robust Diagnostics at Individual Lags Using RA-ARX Estimators -- Bootstrap Confidence Intervals for Periodic Preventive Replacement Policies -- Statistics for Comparison of Two Independent cDNA Filter Microarrays -- Large Deviations for Interacting Processes in the Strong Topology -- Asymptotic Distribution of a Simple Linear Estimator for Varma Models in Echelon Form -- Recent Results for Linear Time Series Models with Non Independent Innovations -- Filtering of Images for Detecting Multiple Targets Trajectories -- Optimal Detection of Periodicities in Vector Autoregressive Models -- The Wilcoxon Signed-Rank Test for Cluster Correlated Data.
520			_aSTATISTICAL MODELING AND ANALYSIS FOR COMPLEX DATA PROBLEMS treats some of today's more complex problems and it reflects some of the important research directions in the field. Twenty-nine authors-largely from Montreal's GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes-present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains. Some of the areas and topics examined in the volume are: an analysis of complex survey data, the 2000 American presidential election in Florida, data mining, estimation of uncertainty for machine learning algorithms, interacting stochastic processes, dependent data & copulas, Bayesian analysis of hazard rates, re-sampling methods in a periodic replacement problem, statistical testing in genetics and for dependent data, statistical analysis of time series analysis, theoretical and applied stochastic processes, and an efficient non linear filtering algorithm for the position detection of multiple targets. The book examines the methods and problems from a modeling perspective and surveys the state of current research on each topic and provides direction for further research exploration of the area.
650		0	_aMATHEMATICS.
650		0	_aCOMPUTER SCIENCE.
650		0	_aDISTRIBUTION (PROBABILITY THEORY).
650		0	_aMATHEMATICAL STATISTICS.
650		0	_aSTATISTICS.
650	1	4	_aMATHEMATICS.
650	2	4	_aPROBABILITY THEORY AND STOCHASTIC PROCESSES.
650	2	4	_aSTATISTICAL THEORY AND METHODS.
650	2	4	_aSTATISTICS AND COMPUTING/STATISTICS PROGRAMS.
650	2	4	_aOPERATIONS RESEARCH/DECISION THEORY.
650	2	4	_aSTATISTICS FOR LIFE SCIENCES, MEDICINE, HEALTH SCIENCES.
650	2	4	_aPROBABILITY AND STATISTICS IN COMPUTER SCIENCE.
700	1		_aRÉMillard, Bruno. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387245546
856	4	0	_uhttp://dx.doi.org/10.1007/b105993 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c56358 _d56358