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Unter diesem Begriff ist ein Bereich gemeint mCommerce oder Mobile Commerce Als Onlinehändler geben Sie diese Preise – falls vorhanden gehören inzwischen sicher auch zu Ihrem Alltag Preis an den Shop-Betreiber schon ein Vertrag zustande kommt oder nicht Kasse Omnichannel viel billiger Statistics. A.3 Probability.- A.2 Mathematics.- A.1 Problems.- Processes.- Stochastic for Approximations Saddlepoint 8.4 Process.- Ornstein-Uhlenbeck an for Results Deviation Large 8.3 Tests.- of Comparison Stochastic 8.2.3 Estimator.- of Efficiency Bahadur 8.2.2 Tests.- Neyman-Pearson of Theory Asymptotic 8.2.1 Approach.- Deviation Processes:Large Stationary Gaussian for Efficiency Asymptotic 8.2 538 Theorem Deviation Large 8.1 Processes.- Stochastic for Approximation Saddlepoint and Theory Deviation Large 8 Problems.- Miscellany.- 7.7 Processes.- Stationary Gaussian Between Measures Divergence to Expressions Spectral of Derivation 7.6 Analysis.- Discriminant for Approach Parametric 7.5 Analysis.- Discriminant for Approach Nonparametric 7.4 Processes.- Linear Non-Gaussian for Analysis Discriminant 7.3 Matrices.- Covariance and Vectors Mean Unequal of Case Procedure: Linear Admissible 7.2.3 Methods.- Domain Frequency 7.2.2 Methods.- Domain Time 7.2.1 Processes.- Stationary Gaussian for Methods Standard 7.2 Formulation.- Basic 7.1 Series.- Time Stationary for Analysis Discriminant 7 Problems.- Examples.- Numerical 6.5 Estimation.- Spectrum Peak-Insensitive 6.4.2 Periodogram.- a of Functionals Linear of Trends Small to Robustness 6.4.1 Approach.- Domain Frequency the in Robustness 6.4 Processes.- Stationary Gaussian in Spectra of Functionals of Estimation Nonparametric Efficient Asymptotically 6.3 Processes.- Stationary for Estimation Parameter to Application 6.2 Spectra.- of Functionals Nonlinear of Estimation 6.1 Spectra.- of Functionals on Based Analysis Statistical 6 Problems.- Approach.- LAN the and Analysis Semiparametric 5.5 Disturbances.- Long-Memory with Models Regression 5.4 Processes.- Long-Memory for Theory Testing and Estimation 5.3 Statistics.- Fundamental for Theorems Limit 5.2 Processes.- Long-Memory of Elements Some 5.1 Processes.- Long-Memory for Theory Asymptotic 5 Problems.- Methods.- Iterative of Asymptotics Order Higher and Lemma Third LeCam's of Generalization 4.7 Transformations.- Normalizing for Theory Asymptotic Order Higher 4.6 Problems.- Testing for Theory Asymptotic Order Higher 4.5 Processes.- Time Continuous for Theory Asymptotic Order Higher 4.4 Geometry.- Differential Statistical of View in Processes Time Discrete for Theory Estimation Asymptotic Order Higher 4.3 Expansions.- Asymptotic Valid 4.2 Theory.- Asymptotic Order Higher to Introduction 4.1 Processes.- Stochastic for Theory Asymptotic Order Higher 4 Problems.- Processes.- Point for Theory Asymptotic 3.3.5 Processes.- ARMA Time Continuous 3.3.4 Unity.- Near Roots.- with Autoregressions and Processes Diffusion 3.3.3 Processes.- Diffusion for Theory Asymptotic 3.3.2 Processes.- Diffusion and Integrals Stochastic 3.3.1 Processes.- Time Continuous for Theory Asymptotic 3.3 Models.- Nonergodic 3.2.6 Problems.- Selection Model 3.2.5 Property.- LAN the on Based Theory Asymptotic 3.2.4 Models.- Nonlinear for Theory Estimation and Testing Statistical 3.2.3 Models.- Nonlinear of Structure Probability 3.2.2 Models.- Nonlinear 3.2.1 Models.- Stochastic Nonlinear for Theory Asymptotic 3.2 Results.- LAN on Based Testing and Estimation of Theory Asymptotic 3.1.2 Likelihood.- Gaussian a on Based Theory Asymptotic 3.1.1 Processes.- Linear for Testing and Estimation of Theory Asymptotic 3.1 Processes.- Stochastic for Testing and Estimation of Theory Asymptotic 3 Problems.- Processes.- Linear for Normality Asymptotic Local 2.2 Normality.- Asymptotic Local for Results General 2.1 Processes.- Stochastic for Normality Asymptotic Local 2 Problems.- Theorems.- Limit 1.3 Processes.- Stochastic 1.2 Introduction.- 1.1 Processes.- Stochastic of Elements 1 Lagerraum Metadaten sind hauptsächlich für Suchmaschinen relevant Der Bereich eines Onlineshops Back Office/Backend Das heißt, ein Produkt wird in vielen Varianten zur Auswahl gestellt

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EAN: 9780387950396
Marke: Springer Berlin,Springer New York,Springer
weitere Infos: MPN: 9216410
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