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Topics on Methodological and Applied Statistical Inference

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,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Di Battista, Tonio (Editor ), Moreno, Elías (Editor ), Racugno, Walter (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Selected Papers of the Statistical Societies,
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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. .