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|a 9783790820843
|9 978-3-7908-2084-3
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|a 10.1007/978-3-7908-2084-3
|2 doi
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|a QA273.A1-274.9
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|a 519.2
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|a COMPSTAT 2008
|h [electronic resource] :
|b Proceedings in Computational Statistics /
|c edited by Paula Brito.
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|a 18th Symposium Held in Porto, Portugal, 2008
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|a 1st ed. 2008.
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|a Heidelberg :
|b Physica-Verlag HD :
|b Imprint: Physica,
|c 2008.
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|a XVII, 573 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a Keynote -- Nonparametric Methods for Estimating Periodic Functions, with Applications in Astronomy -- Advances on Statistical Computing Environments -- Back to the Future: Lisp as a Base for a Statistical Computing System -- Computable Statistical Research and Practice -- Implicit and Explicit Parallel Computing in R -- Classification and Clustering of Complex Data -- Probabilistic Modeling for Symbolic Data -- Monothetic Divisive Clustering with Geographical Constraints -- Comparing Histogram Data Using a Mahalanobis-Wasserstein Distance -- Computation for Graphical Models and Bayes Nets -- Iterative Conditional Fitting for Discrete Chain Graph Models -- Graphical Models for Sparse Data: Graphical Gaussian Models with Vertex and Edge Symmetries -- Parameterization and Fitting of a Class of Discrete Graphical Models -- Computational Econometrics -- Exploring the Bootstrap Discrepancy -- On Diagnostic Checking Time Series Models with Portmanteau Test Statistics Based on Generalized Inverses and -- New Developments in Latent Variable Models: Non-linear and Dynamic Models -- Computational Statistics and Data Mining Methods for Alcohol Studies -- Estimating Spatiotemporal Effects for Ecological Alcohol Systems -- A Directed Graph Model of Ecological Alcohol Systems Incorporating Spatiotemporal Effects -- Spatial and Computational Models of Alcohol Use and Problems -- Finance and Insurance -- Optimal Investment for an Insurer with Multiple Risky Assets Under Mean-Variance Criterion -- Inhomogeneous Jump-GARCH Models with Applications in Financial Time Series Analysis -- The Classical Risk Model with Constant Interest and Threshold Strategy -- Estimation of Structural Parameters in Crossed Classification Credibility Model Using Linear Mixed Models -- Information Retrieval for Text and Images -- A Hybrid Approach for Taxonomy Learning from Text -- Image and Image-Set Modeling Using a Mixture Model -- Strategies in Identifying Issues Addressed in Legal Reports -- Knowledge Extraction by Models -- Sequential Automatic Search of a Subset of Classifiers in Multiclass Learning -- Possibilistic PLS Path Modeling: A New Approach to the Multigroup Comparison -- Models for Understanding Versus Models for Prediction -- Posterior Prediction Modelling of Optimal Trees -- Model Selection Algorithms -- Selecting Models Focussing on the Modeller's Purpose -- A Regression Subset-Selection Strategy for Fat-Structure Data -- Fast Robust Variable Selection -- Models for Latent Class Detection -- Latent Classes of Objects and Variable Selection -- Modelling Background Noise in Finite Mixtures of Generalized Linear Regression Models -- Clustering via Mixture Regression Models with Random Effects -- Multiple Testing Procedures -- Testing Effects in ANOVA Experiments: Direct Combination of All Pair-Wise Comparisons Using Constrained Synchronized Permutations -- Multiple Comparison Procedures in Linear Models -- Inference for the Top-k Rank List Problem -- Random Search Algorithms -- Monitoring Random Start Forward Searches for Multivariate Data -- Generalized Differential Evolution for General Non-Linear Optimization -- Statistical Properties of Differential Evolution and Related Random Search Algorithms -- Robust Statistics -- Robust Estimation of the Vector Autoregressive Model by a Least Trimmed Squares Procedure -- The Choice of the Initial Estimate for Computing MM-Estimates -- Metropolis Versus Simulated Annealing and the Black-Box-Complexity of Optimization Problems -- Signal Extraction and Filtering -- Filters for Short Nonstationary Sequences: The Analysis of the Business Cycle -- Estimation of Common Factors Under Cross-Sectional and Temporal Aggregation Constraints: Nowcasting Monthly GDP and Its Main Components.
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|a Probabilities.
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|a Mathematics-Data processing.
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|a Computer science.
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|a Mathematical statistics-Data processing.
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|a Information storage and retrieval systems.
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|a Computer science-Mathematics.
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|a Mathematical statistics.
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|a Probability Theory.
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|a Computational Mathematics and Numerical Analysis.
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|a Theory of Computation.
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|a Statistics and Computing.
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|a Information Storage and Retrieval.
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|a Probability and Statistics in Computer Science.
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700 |
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|a Brito, Paula.
|e editor.
|0 (orcid)0000-0002-2593-8818
|1 https://orcid.org/0000-0002-2593-8818
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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776 |
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|i Printed edition:
|z 9783790823257
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776 |
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|i Printed edition:
|z 9783790820836
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|u https://doi.uam.elogim.com/10.1007/978-3-7908-2084-3
|z Texto Completo
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|a ZDB-2-SMA
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|a ZDB-2-SXMS
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|a Mathematics and Statistics (SpringerNature-11649)
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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