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Topics on Methodological and Applied Statistical Inference

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Cover of 'Topics on Methodological and Applied Statistical Inference'

Table of Contents

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    Book Overview
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    Chapter 1 Introducing Prior Information into the Forward Search for Regression
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    Chapter 2 A Finite Mixture Latent Trajectory Model for Hirings and Separations in the Labor Market
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    Chapter 3 Outliers in Time Series: An Empirical Likelihood Approach
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    Chapter 4 Advanced Methods to Design Samples for Land Use/Land Cover Surveys
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    Chapter 5 Heteroscedasticity, Multiple Populations and Outliers in Trade Data
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    Chapter 6 How to Marry Robustness and Applied Statistics
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    Chapter 7 Logistic Quantile Regression to Model Cognitive Impairment in Sardinian Cancer Patients
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    Chapter 8 Bounding the Probability of Causation in Mediation Analysis
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    Chapter 9 Analysis of Collaboration Structures Through Time: The Case of Technological Districts
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    Chapter 10 Bayesian Spatiotemporal Modeling of Urban Air Pollution Dynamics
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    Chapter 11 Clustering Functional Data on Convex Function Spaces
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    Chapter 12 The Impact of Demographic Change on Sustainability of Emergency Departments
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    Chapter 13 Bell-Shaped Fuzzy Numbers Associated with the Normal Curve
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    Chapter 14 Improving Co-authorship Network Structures by Combining Heterogeneous Data Sources
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    Chapter 15 Statistical Issues in Bayesian Meta-Analysis
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    Chapter 16 Statistical Evaluation of Forensic DNA Mixtures from Multiple Traces
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    Chapter 17 A Note on Semivariogram
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    Chapter 18 Geographically Weighted Regression Analysis of Cardiovascular Diseases: Evidence from Canada Health Data
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    Chapter 19 Pseudo-Likelihoods for Bayesian Inference
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Citations

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Title
Topics on Methodological and Applied Statistical Inference
Published by
Springer International Publishing, October 2016
DOI 10.1007/978-3-319-44093-4
ISBNs
978-3-31-944092-7, 978-3-31-944093-4
Editors

Di Battista, Tonio, Moreno, Elías, Racugno, Walter

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 14%
Student > Master 3 14%
Professor 2 9%
Researcher 2 9%
Lecturer > Senior Lecturer 2 9%
Other 4 18%
Unknown 6 27%
Readers by discipline Count As %
Mathematics 3 14%
Computer Science 3 14%
Engineering 3 14%
Environmental Science 1 5%
Immunology and Microbiology 1 5%
Other 3 14%
Unknown 8 36%