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雷达卡
Editors: Tonio Di Battista, Elías Moreno, Walter Racugno
Presents new perspectives in statistical methodology to solve problems arising from the analysis of real-life phenomena
Offers examples on how to approach data analysis in different fields
Contains numerous applications in challenging real problems
This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse approaches and analyses related to real-life phenomena.
Major topics covered in this volume include, but are not limited to, bayesian inference, likelihood approach, pseudo-likelihoods, regression, time series, and data analysis as well as applications in the life and social sciences.
The software packages used in the papers are made available by the authors.
This book is a result of the 47th Scientific Meeting of the Italian Statistical Society, held at the University of Cagliari, Italy, in 2014.
Table of contents (19 chapters)
Front Matter
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 Through Time: The Case of Technological Districts
Bayesian Spatiotemporal 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
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