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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

MARC

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505 0 |a 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. . 
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