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000763369 019__ $$a960738409$$a962434295
000763369 020__ $$a9783319440934$$q(electronic book)
000763369 020__ $$a3319440934$$q(electronic book)
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000763369 049__ $$aISEA
000763369 050_4 $$aQA276.A1
000763369 08204 $$a519.5$$223
000763369 24500 $$aTopics on methodological and applied statistical inference /$$cTonio Di Battista, Elías Moreno, Walter Racugno, editors.
000763369 264_1 $$aCham, Switzerland :$$bSpringer,$$c2016.
000763369 300__ $$a1 online resource.
000763369 336__ $$atext$$btxt$$2rdacontent
000763369 337__ $$acomputer$$bc$$2rdamedia
000763369 338__ $$aonline resource$$bcr$$2rdacarrier
000763369 4901_ $$aStudies in theoretical and applied statistics
000763369 5050_ $$aForeword; Preface; Contents; 1 Introducing Prior Information into the Forward Search for Regression; 1 Introduction; 2 Prior Information in the Linear Model from Fictitious Observations; 3 Algebra for the Bayesian Forward Search; 4 Example 1: Correct Prior Information; 5 Example 2: Incorrect Prior Information; 2 A Finite Mixture Latent Trajectory Model for Hirings and Separations in the Labor Market; 1 Introduction; 2 Data; 3 The Latent Trajectory Model; 3.1 Model Assumptions; 3.2 Estimation; 3.3 Model Selection; 4 Results; 5 Conclusions
000763369 5058_ $$a3 Outliers in Time Series: An Empirical Likelihood Approach1 Introduction; 2 The Empirical Likelihood; 3 Empirical Likelihood for Inference of Outliers in Time Series; 4 A Simulation Experiment and Real Time Series Study; 5 Conclusions; 4 Advanced Methods to Design Samples for Land Use/Land Cover Surveys; 1 Introduction; 2 Methodologies; 3 Empirical Evidence; 4 Concluding Remarks; 5 Heteroscedasticity, Multiple Populations and Outliers in Trade Data; 1 Introduction; 2 The Forward Search in Presence of Multiple Populations and Heteroscedasticity; 3 Forward Plot of the White Test
000763369 5058_ $$a4 Forward Search Monitoring with Harvey's Heteroscedastic Model5 Monthly Fair Prices; 6 Discussion; 6 How to Marry Robustness and Applied Statistics; 1 Introduction; 2 Which Method and How to Tune It?; 3 An Example of Monitoring; 4 Robustness Against What?; 4.1 Several Models: Clustering; 4.2 Which Model for the `Good' Data and How Many Outliers?; 5 Conclusion; 7 Logistic Quantile Regression to Model Cognitive Impairment in Sardinian Cancer Patients; 1 Introduction; 2 Logistic Quantile Regression; 3 Modeling Mini Mental State Examination; 4 Results and Discussion; 5 Conclusions and Remarks
000763369 5058_ $$a8 Bounding the Probability of Causation in Mediation Analysis1 Introduction; 2 Starting Point: Simple Analysis; 3 Additional Covariate Information; 3.1 Fully Observable; 3.2 Observable in Data Only; 4 Unobserved Confounding; 5 Mediation Analysis; 5.1 Example; 6 Discussion; 9 Analysis of Collaboration Structures Through Time: The Case of Technological Districts; 1 Introduction; 2 MFA for Network Data: Main Concepts; 3 The Collaboration Structure of the TD Under Analysis; 3.1 The Data; 3.2 Analysis of the Affiliation Structure over Time
000763369 5058_ $$a10 Bayesian Spatiotemporal Modeling of Urban Air Pollution Dynamics1 Introduction; 2 Data; 3 Spatiotemporal Modeling; 4 Results; 5 Conclusions; 11 Clustering Functional Data on Convex Function Spaces; 1 Introduction; 2 Functional Distances on Convex Function Spaces; 2.1 Functional k-means; 3 Application; 12 The Impact of Demographic Change on Sustainability of Emergency Departments; 1 Introduction and Background; 2 Data and Methods; 3 Results; 3.1 Impact on Demand; 3.2 Impact on Emergency Level; 3.3 Impact on Inappropriate Use of AED; 3.4 Change in Costs; 3.5 Sensitivity Analysis
000763369 506__ $$aAccess limited to authorized users.
000763369 520__ $$aThis book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse approaches and analyses related to real-life phenomena. Major topics covered in this volume include, but are not limited to, bayesian inference, likelihood approach, pseudo-likelihoods, regression, time series, and data analysis as well as applications in the life and social sciences. The software packages used in the papers are made available by the authors. This book is a result of the 47th Scientific Meeting of the Italian Statistical Society, held at the University of Cagliari, Italy, in 2014.
000763369 588__ $$aDescription based on print version record.
000763369 650_0 $$aMathematical statistics$$vCongresses.
000763369 650_0 $$aProbabilities$$vCongresses.
000763369 7001_ $$aDi Battista, Tonio,$$eeditor.
000763369 7001_ $$aMoreno, Elías,$$eeditor.
000763369 7001_ $$aRacugno, Walter,$$eeditor.
000763369 7102_ $$aSocietà italiana di statistica.$$bRiunione scientifica$$n(47th :$$d2014 :$$cCagliari, Italy)
000763369 77608 $$iPrint version:$$tTopics on Methodological and Applied Statistical Inference.$$d[Place of publication not identified] : Springer Verlag 2016$$z9783319440927$$w(OCoLC)953709040
000763369 830_0 $$aStudies in theoretical and applied statistics.
000763369 852__ $$bebk
000763369 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-44093-4$$zOnline Access$$91397441.1
000763369 909CO $$ooai:library.usi.edu:763369$$pGLOBAL_SET
000763369 980__ $$aEBOOK
000763369 980__ $$aBIB
000763369 982__ $$aEbook
000763369 983__ $$aOnline
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