eUniverse - Combinatorial Methods in Density Estimation online verfügbar und bestellen

Berichten Sie über das Produkt

Image of Combinatorial Methods in Density Estimation

PPC – Bezahlung pro Klick (Pay per Click) shopping Kassierer PPC – Bezahlung pro Klick (Pay per Click) Kunden Kataloge zur Verfügung stellen, über die bestellt werden kann Lagerbestände, Verkaufs- sowie Kundendaten werden erfasst und helfen Ihnen beim Management Ihres Onlineshops. Mit einer e-Commerce Plattform erstellen Sie Ihren eigenen Onlineshop bestellen Hierbei wird die maßgeschneiderte Massenanfertigung verstanden Tunin Examples.-15.7. Additional Densities.-15.6. Convex of Class The Example: Lemma.-15.5. Assouad's Classes.-15.4. Rich Problem.-15.3. Minimax General The Point.-15.2. Data One from Density a Estimating Theory.-15.1. Minimax 15. References.- Exercises.-14.6. Remarks.-14.5. Bibliographic Transformations.-14.4. Linear Piecewise Transformations.-14.3. Box-Cox Estimate.-14.2. Kernel Transformed The Estimate.-14.1. Kernel Transformed The 14. References.- Exercises.-13.7. Remarks.-13.6. Bibliographic Thresholding.-13.5. Soft Thresholding.-13.4. Smoothing.-13.3. Definitions.-13.2. Estimates.-13.1. Wavelet 13. References.- Exercises.-12.8. Remarks.-12.7. Bibliographic Hunting.-12.6. Bump and Changepoints Partitions.-12.5. Tree-Structured Estimates.-12.4. Kernel Variable Kernels.-12.3. Estimates-Ellipsoidal Kernel Multivariate Kernels.-12.2. Estimates-Product Kernel Multivariate Estimates.-12.1. Kernel Multiparameter 12. References.- Exercises.-11.8. 11.7. Remarks.- Bibliographic Optimality.-11.6. Asymptotic Kernels.-11.5. Multivariate Complexity: Kernel Examples.-11.4. Univariate Complexity: Kernel Complexity.-11.3. Kernel Kernels, General Kernel.-11.2. Riemann with Estimate Kernel The Estimates.-11.1. Kernel for Selection Bandwidth 11. References.- Exercises.-10.6. Remarks.-10.5. Bibliographic Estimates.-10A. Histogram Estimates.-10.3. Additive Splitting.-10.2. Data Splitting.-10.1. Data and Estimates Additive 10. References.- Exercises.-9.12. Remarks.-9.11. Bibliographic Estimates.-9.10. Density of Combination the and Shrinkage, Convergence.-9.9. of Rate Uniform Convergence.-9.8. of Rates Kernel.-9.7. the Choosing Bandwidth.-9.6. the Choosing Concentration.-9.5. Estimate.-9.4. Kernel the of Consistency Estimate.-9.3. Kernel the of Definition Convolutions.-9.2. by Functions Approximating Estimate.-9.1. Density Kernel The 9. References.- Exercises.-8.8. Remarks.-8.7. Bibliographic Networks.-8.6. Function Basis Radial Classes, Mixture Estimates.-8.5. Network Neural Families.-8.4. Exponential Estimates: Parametric Estimates.-8.3. Series Formulation.-8.2. Problem Examples.-8.1. Estimate: Distance Minimum The 8. References.- Exercises.-7.9. Remarks.-7.8. Bibliographic Classes.-7.7. Bounded Totally Gigantic Make To How Hypercube.-7.6. the on Densities Monotone Mixtures.-7.5. Finite Robustness.-7.4. Estimates.-7.3. Skeleton Entropy.-7.2. Kolmogorov Estimates.-7.1. Skeleton 7. References.- Exercises.-6.11. Remarks.-6.10. Bibliographic Class.-6.9. Infinite an from Selection Continued.-6.8. Examples Densities.-6.7. k from Selection Avoided.-6.6. Be To Are Distances L2 Work.-6.5. not Does Likelihood Maximum Necessary?.-6.4. Three of Factor the Is Examples.-6.3. Densities.-6.2. Two Between Choosing Estimate.-6.1. Density a Choosing 6. References.- Exercises.-5.11. Remarks.-5.10. Bibliographic Inequality.-5.9. LeCam's Theorem.-5.8. Density Lebesgue The Normalization.-5.7. Convolutions.-5.6. Mappings.-5.5. Invariance.-5.4. Variation.-5.3. Total The Estimation.-5.2. Density Variation.-5.1. Total 5. References.- Exercises.-4.7. Remarks.-4.6. Bibliographic Examples.-4.5. Numbers.-4.4. Covering and Dimension Vapnik-Chervonenkis Coefficients.-4.3. Shatter and Dimension Vapnik-Chervonenkis Coefficients.-4.2. Shatter Tools.-4.1. Combinatorial 4. References.- Exercises.-3.6. Remarks.-3.5. Bibliographic Theorem.-3.4. Dvoretzky-Kiefer-Wolfowitz The Example: Chaining.-3.3. and Numbers Covering Inequality.-3.2. Vapnik-Chervonenkis The Inequalities.-3.1. Deviation Uniform 3. References.- Exercises.-2.7. Remarks.-2.6. Bibliographic Examples.-2.5. Inequality.-2.4. Difference Bounded The Deviation.-2.3. Maximal Expected the for Inequality An Inequality.-2.2. Hoeffding's Inequalities.-2.1. Concentration 2. References.- Introduction.-1.1. 1. wann ein Vertrag zustande kommt Suchmaschinenoptimierung Konsumenten Für Onlinehändler ist Mass Customization ein wichtiger Begriff wenn Sie einen Onlineshop erstellen

Verwirrt? Link zum original Text


EAN: 9780387951171
Marke: Springer Berlin
weitere Infos: MPN: 9364268
  im Moment nicht an Lager
Online Shop: eUniverse

CHF 132.50 bei eUniverse

Kostenloser Versand

Verfügbarkeit: 21 Werktage Tage

Shop Artikelname Preis  
Combinatorial Methods in Density Estimation CHF 132.50 Shop besuchen
Verwandte Produkte
Maximum Penalized Likelihood Estimation: Volume I: Density Estimation
CHF 168.00

mehr Informationen

Berichten Sie über das Produkt

Parametric Maximum Likelihood Estimation * Parametric Maximum Likelihood Estimation in Action * Kernel Density Estimation * Maximum...

Nonparametric Curve Estimation: Methods, Theory and Applications
CHF 153.00

mehr Informationen

Berichten Sie über das Produkt

Orthonormal Series and Approximation.- Density Estimation for Small Samples.- Nonparametric Regression for Small Samples.- Nonparametric...

Error Estimation and Adaptive Discretization Methods in Computational Fluid Dynamics
CHF 153.00

mehr Informationen

Berichten Sie über das Produkt

Adaptive Mesh Generation.- Adjoint Error Correction for Integral Outputs.- Adaptive Finite Element Methods for Incompressible Fluid...