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New Advances in Statistics and Data Science / / edited by Ding-Geng Chen, Zhezhen Jin, Gang Li, Yi Li, Aiyi Liu, Yichuan Zhao
| New Advances in Statistics and Data Science / / edited by Ding-Geng Chen, Zhezhen Jin, Gang Li, Yi Li, Aiyi Liu, Yichuan Zhao |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXIII, 348 p. 74 illus., 41 illus. in color.) |
| Disciplina | 005.7 |
| Collana | ICSA Book Series in Statistics |
| Soggetto topico |
Statistics
Big data Biostatistics Statistical Theory and Methods Big Data/Analytics Statistics for Life Sciences, Medicine, Health Sciences |
| ISBN | 3-319-69416-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1 Review and Theoretical Framework in Data Science -- Ch 1 Statistical Distances and Their Role in Robustness -- Ch 2 The Out-source Error in Multi-source Cross Validation-type Procedures -- Ch 3 -- Meta-Analysis for Rare Events as Binary Outcomes -- Ch 4 New Challenges and Strategies in Robust Optimal Design for Multicategory Logit Modelling -- Ch 5 Testing of Multivariate Spline Growth Model -- Part 2 Complex and Big Data Analysis -- Ch 6 Uncertainty Quantification Using the Neighbor Gaussian Process -- Ch 7 Tuning Parameter Selection in the LASSO with Unspecified Propensity -- Adaptive Filtering Increases Power to Detect Differently Expressed Genes -- Ch 9 Estimating Parameters in Complex Systems with Functional Outputs - A Wavelet-based Approximate Bayesian Computation Approach -- Ch 10 A maximum Likelihood Approach for Non-invasive Cancer Diagnosis Using Methylation Profiling of Cell-free DNA from Blood -- Part 3 Clinical Trials, Statistical Shape Analysis and Application -- Ch 11 A Simple and Efficient Statistical Approach for Designing an Early Phase II Clinical Trial - Ordinal Linear Contrast Test -- Ch 12 Landmark-constrained Statistical Shape Analysis of Elastic Curves and Surfaces -- Ch 13 Phylogeny-based kernels with Application to Microbiome Association Studies -- Ch 14 Accounting for Differential Error in Time-to-event Analyses using Imperfect Electronic Health Record-derived Endpoints -- Part 4 Statistical Modeling and Data Analysis -- Ch 15 Modeling Inter-trade Durations in the Limit Order market -- Ch 16 Assessment of Drug Interactions with Repeated Measurements -- Ch 17 Statistical Indices for Risk Tracking in Longitudinal Studies -- Ch 18 Statistical Analysis of Labor market Integration: A Mixture Regression Approach -- Ch 19 Bias Correction in Age-Cohort Models Using Eigen Analysis. |
| Record Nr. | UNINA-9910255456003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
New Developments in Statistical Modeling, Inference and Application : Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR / / edited by Zhezhen Jin, Mengling Liu, Xiaolong Luo
| New Developments in Statistical Modeling, Inference and Application : Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR / / edited by Zhezhen Jin, Mengling Liu, Xiaolong Luo |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIV, 214 p. 33 illus., 16 illus. in color.) |
| Disciplina | 519.5 |
| Collana | ICSA Book Series in Statistics |
| Soggetto topico |
Biometry
Statistics Computer science - Mathematics Mathematical statistics Biostatistics Statistical Theory and Methods Probability and Statistics in Computer Science |
| ISBN | 3-319-42571-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910148789903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||