Buch, Englisch, 304 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 493 g
Reihe: Contributions to Statistics
Buch, Englisch, 304 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 493 g
Reihe: Contributions to Statistics
ISBN: 978-3-7908-2560-2
Verlag: Physica-Verlag HD
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik Mathematik Stochastik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
Weitere Infos & Material
to IWFOS'2008.- Solving Multicollinearity in Functional Multinomial Logit Models for Nominal and Ordinal Responses.- Estimation of Functional Regression Models for Functional Responses by Wavelet Approximation.- Functional Linear Regression with Functional Response: Application to Prediction of Electricity Consumption.- Asymptotic Normality of Robust Nonparametric Estimator for Functional Dependent Data.- Measuring Dissimilarity Between Curves by Means of Their Granulometric Size Distributions.- Supervised Classification for Functional Data: A Theoretical Remark and Some Numerical Comparisons.- Local Linear Regression for Functional Predictor and Scalar Response.- Spatio-temporal Functional Regression on Paleoecological Data.- Local Linear Functional Regression Based on Weighted Distance-based Regression.- Singular Value Decomposition of Large Random Matrices (for Two-Way Classification of Microarrays).- On Tensorial Products of Hilbertian Linear Processes.- Recent Results on Random and Spectral Measures with Some Applications in Statistics.- Parameter Cascading for High Dimensional Models.- Advances in Human Protein Interactome Inference.- Functional Principal Components Analysis with Survey Data.- Functional Clustering of Longitudinal Data.- Robust Nonparametric Estimation for Functional Data.- Estimation of the Functional Linear Regression with Smoothing Splines.- A Random Functional Depth.- Parametric Families of Probability Distributions for Functional Data Using Quasi-Arithmetic Means with Archimedean Generators.- Point-wise Kriging for Spatial Prediction of Functional Data.- Nonparametric Regression on Functional Variable and Structural Tests.- Vector Integration and Stochastic Integration in Banach Spaces.- Multivariate Functional Data Discrimination Using ICA:Analysis of Hippocampal Differences in Alzheimer's Disease.- Influence in the Functional Linear Model with Scalar Response.- Is it Always Optimal to Impose Constraints on Nonparametric Functional Estimators? Some Evidence on the Smoothing Parameter Choice.- Dynamic Semiparametric Factor Models in Pricing Kernels Estimation.- The Operator Trigonometry in Statistics.- Selecting and Ordering Components in Functional-Data Linear Prediction.- Bagplots, Boxplots and Outlier Detection for Functional Data.- Marketing Applications of Functional Data Analysis.- Nonparametric Estimation in Functional Linear Model.- Presmoothing in Functional Linear Regression.- Probability Density Functions of the Empirical Wavelet Coefficients of Multidimensional Poisson Intensities.- A Cokriging Method for Spatial Functional Data with Applications in Oceanology.- On the Effect of Curve Alignment and Functional PCA.- K-sample Subsampling.- Inference for Stationary Processes Using Banded Covariance Matrices.- Automatic Local Spectral Envelope.- Recent Advances in the Use of SVM for Functional Data Classification.- Wavelet Thresholding Methods Applied to Testing Significance Differences Between Autoregressive Hilbertian Processes.- Explorative Functional Data Analysis for 3D-geometries of the Inner Carotid Artery.- Inference on Periodograms of Infinite Dimensional Discrete Time Periodically Correlated Processes.