Buch
Topics on Methodological and Applied Statistical Inference
Tonio Di Battista; Elías Moreno; Walter Racugno (Hrsg.)
160,49
EUR
Lieferzeit 12-13 Tage
Übersicht
Verlag | : | Springer International Publishing |
Buchreihe | : | Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies |
Sprache | : | Englisch |
Erschienen | : | 16. 06. 2018 |
Seiten | : | 220 |
Einband | : | Kartoniert |
Höhe | : | 235 mm |
Breite | : | 155 mm |
Gewicht | : | 361 g |
ISBN | : | 9783319829814 |
Sprache | : | Englisch |
Autorinformation
The three editors are researchers well known to national and international statistical community. In addition, each of them has a large scientific production and the results of their research are published in numerous journals well classified.
Inhaltsverzeichnis
Introducing Prior Information into the Forward Search for Regression.- A Finite Mixture Latent Trajectory Model for Hirings and Separations in the Labor Market.- Outliers in Time Series - An Empirical Likelihood Approach.- Advanced Methods to Design Samples for Land Use/Land Cover Surveys.- Heteroscedasticity, Multiple Populations and Outliers in Trade Data.- How to Marry Robustness and Applied Statistics.- Logistic Quantile Regression to Model Cognitive Impairment in Sardinian Cancer Patients.- Bounding the Probability of Causation in Mediation Analysis.- Analysis of Collaboration Structures though Time - The Case of Technological Districts.- Bayesian Spatio-temporal Modeling of Urban Air Pollution Dynamics.- Clustering Functional Data on Convex Function Spaces.- The Impact of Demographic Change on Sustainability of Emergency Departments.- Bell Shaped Fuzzy Numbers Associated With the Normal Curve.- Improving Co-authorship Network Structures by Combining Heterogeneous Data Sources.- Statistical Issues in Bayesian Meta-Analysis.- Statistical Evaluation of Forensic DNA Mixtures from Multiple Traces.- A Note on Semivariogram.- Geographically Weighted Regression Analysis of Cardiovascular Diseases - Evidence From Canada Health Data.- Pseudo-Likelihoods for Bayesian Inference.