| 000 | 03284nam a22005295i 4500 | ||
|---|---|---|---|
| 001 | 978-0-387-79936-0 | ||
| 003 | DE-He213 | ||
| 005 | 20251006084422.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100725s2009 xxu| s |||| 0|eng d | ||
| 020 | _a9780387799360 | ||
| 020 | _a99780387799360 | ||
| 024 | 7 |
_a10.1007/978-0-387-79936-0 _2doi |
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| 082 | 0 | 4 |
_a519.6 _223 |
| 100 | 1 |
_aPronzato, Luc. _eeditor. |
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| 245 | 1 | 0 |
_aOptimal Design and Related Areas in Optimization and Statistics _h[electronic resource] / _cedited by Luc Pronzato, Anatoly Zhigljavsky. |
| 264 | 1 |
_aNew York, NY : _bSpringer New York, _c2009. |
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| 300 | _bonline resource. | ||
| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSpringer Optimization and Its Applications, _x1931-6828 ; _v28 |
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| 505 | 0 | _aW-Iterations and Ripples Therefrom -- Studying Convergence of Gradient Algorithms Via Optimal Experimental Design Theory -- A Dynamical-System Analysis of the Optimum s-Gradient Algorithm -- Bivariate Dependence Orderings for Unordered Categorical Variables -- Methods in Algebraic Statistics for the Design of Experiments -- The Geometry of Causal Probability Trees that are Algebraically Constrained -- Bayes Nets of Time Series: Stochastic Realizations and Projections -- Asymptotic Normality of Nonlinear Least Squares under Singular Experimental Designs -- Robust Estimators in Non-linear Regression Models with Long-Range Dependence. | |
| 520 | _aThis edited volume, dedicated to Henry P. Wynn, reflects his broad range of research interests, focusing in particular on the applications of optimal design theory in optimization and statistics. It covers algorithms for constructing optimal experimental designs, general gradient-type algorithms for convex optimization, majorization and stochastic ordering, algebraic statistics, Bayesian networks and nonlinear regression. Written by leading specialists in the field, each chapter contains a survey of the existing literature along with substantial new material. This work will appeal to both the specialist and the non-expert in the areas covered. By attracting the attention of experts in optimization to important interconnected areas, it should help stimulate further research with a potential impact on applications. | ||
| 650 | 0 | _aMATHEMATICS. | |
| 650 | 0 | _aCOMPUTER SOFTWARE. | |
| 650 | 0 | _aALGORITHMS. | |
| 650 | 0 | _aMATHEMATICAL OPTIMIZATION. | |
| 650 | 0 | _aOPERATIONS RESEARCH. | |
| 650 | 0 | _aSTATISTICS. | |
| 650 | 1 | 4 | _aMATHEMATICS. |
| 650 | 2 | 4 | _aOPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING. |
| 650 | 2 | 4 | _aSTATISTICS, GENERAL. |
| 650 | 2 | 4 | _aOPTIMIZATION. |
| 650 | 2 | 4 | _aALGORITHM ANALYSIS AND PROBLEM COMPLEXITY. |
| 650 | 2 | 4 | _aALGORITHMS. |
| 700 | 1 |
_aZhigljavsky, Anatoly. _eeditor. |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9780387799353 |
| 830 | 0 |
_aSpringer Optimization and Its Applications, _x1931-6828 ; _v28 |
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| 856 | 4 | 0 |
_uhttp://dx.doi.org/10.1007/978-0-387-79936-0 _zVer el texto completo en las instalaciones del CICY |
| 912 | _aZDB-2-SMA | ||
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_2ddc _cER |
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_c59198 _d59198 |
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