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Author:   Tonio Di Battista ,  Elías Moreno ,  Walter Racugno
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   4.734kg
ISBN:  

9783319440927

ISBN 10:   3319440926
Pages:   220
Publication Date:   12 October 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

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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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.

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