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Combining Soft Computing and Statistical Methods in Data Analysis

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Feldname	Details
Vorliegende Sprache	eng
Hinweise auf parallele Ausgaben	338735275 Buchausg. u.d.T.: ‡Combining soft computing and statistical methods in data analysis
ISBN	978-3-642-14745-6
Name	Borgelt, Christian
Name	González-Rodríguez, Gil
Name ANZEIGE DER KETTE	González-Rodríguez, Gil
Name	Trutschnig, Wolfgang
	Lubiano, María Asunción
	Gil, Mariá Angeles
	Grzegorzewski, Przemysław
	Hryniewicz, Olgierd
T I T E L	Combining Soft Computing and Statistical Methods in Data Analysis
Verlagsort	Berlin, Heidelberg
Verlag	Springer Berlin Heidelberg
Erscheinungsjahr	2010
Erscheinungsjahr	2010
Umfang	Online-Ressource (630p. 96 illus, digital)
Reihe	Advances in Intelligent and Soft Computing ; 77
Notiz / Fußnoten	Includes bibliographical references and index
Weiterer Inhalt	Title Page; Preface; Members of Committees; Contents; Prior Knowledge in the Classification of Biomedical Data; Estimation of a Simple Genetic Algorithm Applied to a Laboratory Experiment; A Comparison of Robust Methods for Pareto Tail Modeling in the Case of Laeken Indicators; R Code for Hausdorff and Simplex Dispersion Orderings in the 2D Case; On Some Confidence Regions to Estimate a Linear Regression Model for Interval Data; Possibilistic Coding: Error Detection vs. Error Correction; Coherent Correction for Conditional Probability Assessments with R; Inferential Rules for Weak Graphoid. Fast Factorization of Probability Trees and Its Application to Recursive Trees LearningOption Pricing in Incomplete Markets Based on Partial Information; Lorenz Curves of extrema; Likelihood in a Possibilistic and Probabilistic Context: A Comparison; Nonparametric Predictive Inference for Order Statistics of Future Observations; Expected Pair-Wise Comparison of the Outcomes of a Fuzzy Random Variable; The Behavioral Meaning of the Median; Functional Classification and the Random Tukey Depth. Practical Issues; On Concordance Measures and Copulas with Fractal Support. Factorisation Properties of the Strong ProductHadamard Majorants for the Convex Order and Applications; How to Avoid LEM Cycles in Mutual Rank Probability Relations; Functional Inequalities Characterizing the Frank Family of Copulas; Recent Developments in Censored, Non-Markov Multi-State Models; Maximum Likelihood from Evidential Data: An Extension of the EM Algorithm; A Decision Rule for Imprecise Probabilities Based on Pair-Wise Comparison of Expectation Bounds; Handling Bipolar Knowledge with Credal Sets. Coherent Upper Conditional Previsions and Their Integral Representation with Respect to Hausdorff Outer MeasuresStatistical Inference with Belief Functions and Possibility Measures: A Discussion of Basic Assumptions; Representation of Exchangeable Sequences by Means of Copulas; Area-Level Time Models for Small Area Estimation of Poverty Indicators; Flood Analysis: On the Automation of the Geomorphological-Historical Method; Geometric Sampling: An Approach to Uncertainty in High Dimensional Spaces; Inverse Problems and Model Reduction Techniques. A Linearity Test for a Simple Regression Model with LR Fuzzy ResponseSoft Methods in Robust Statistics; S-Statistics and Their Basic Properties; Particle Swarm Optimization and Inverse Problems; Linear Approximations to the Power Function of Robust Tests; Decision Support for Evolving Clustering; On Jaffray's Decision Model for Belief Functions; Quasi Conjunction and p-Entailment in Nonmonotonic Reasoning; Elements of Robust Regression for Data with Absolute and Relative Information; On Testing Fuzzy Independence Application in Quality Control; The Fisher's Linear Discriminant. Testing Archimedeanity
Titelhinweis	Buchausg. u.d.T.: ‡Combining soft computing and statistical methods in data analysis
ISBN	ISBN 978-3-642-14746-3
Klassifikation	UYQ
	COM004000
	*62-07
	68U99
	62-06
	62-04
	00B25
	006.3
	519.5
	Q342
	SK 850
Kurzbeschreibung	"Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of randomness (stochastic uncertainty) but also in the form of imprecision/fuzziness is but one point underlining the need for a widening of statistical tools. Most such extensions originate in a ""softening"" of classical methods, allowing, in particular, to work with imprecise or vague data, considering imprecise or generalized probabilities and fuzzy events, etc. About ten years ago the idea of establishing a recurrent forum for discussing new trends in the before-mentioned context was born and resulted in the first International Conference on Soft Methods in Probability and Statistics (SMPS) that was held in Warsaw in 2002. In the following years the conference took place in Oviedo (2004), in Bristol (2006) and in Toulouse (2008). In the current edition the conference returns to Oviedo. This edited volume is a collection of papers presented at the SMPS 2010 conference held in Mieres and Oviedo. It gives a comprehensive overview of current research into the fusion of soft methods with probability and statistics."
1. Schlagwortkette	Datenanalyse
	Wahrscheinlichkeitsrechnung
	Statistik
	Soft Computing
	Kongress
1. Schlagwortkette ANZEIGE DER KETTE	Datenanalyse -- Wahrscheinlichkeitsrechnung -- Statistik -- Soft Computing -- Kongress
2. Schlagwortkette	Datenanalyse
	Wahrscheinlichkeitsrechnung
	Statistik
	Soft Computing
ANZEIGE DER KETTE	Datenanalyse -- Wahrscheinlichkeitsrechnung -- Statistik -- Soft Computing
SWB-Titel-Idn	332859282
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-3-642-14746-3
Internetseite / Link	Volltext
Siehe auch	Volltext
Siehe auch	Inhaltstext

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