New Frontiers in Statistics and Data Science

- A note on a Parzen–Rosenblatt type density estimator for circular data.- Population Growth and Geometrically Thinned Extreme Value Theory.- An additive shared frailty model for recurrent gap time data in the presence of zero-recurrence subjects.- Clustering and Risk Analysis for evaluating the water quality of a hydrological basin.- Green Exchange-Traded Fund Performance Evaluation Using the EU-EV Risk Model.- Risk Assessment of Vulnerabilities Exploitation.- Bayesian modelling of time series of counts with missing data.- Sexual Classification Based on Orthopantomographs.- Survapp: a Shiny Application for Survival Data Analysis.- An Application of Multivariate Random Fields and Systems of Stochastic Partial Differential Equations to Wind Velocity Data.- A direct approach in extremal index estimation.- When PACE-Gate Meets Sample Size Calculations.- An Approach for Predicting Spatially Indexed Carcass Persistence Probability to Estimate Bird Mortality at Power Lines.- Extremal Behavior of Some Bivariate Integer Models.- Solar Radiation Forecasting: A Study Case in the Colombian Caribbean Region.- Sources of bias when assessing seasonal influenza vaccine performance: a narrative review.- Peaks Over Random Thresholds (PORT) Estimation of the Weibull Tail Coefficient.- Exploring the Mutual Information Rate Decomposition in Situations of Pathological Stress.- A Simulation Comparison of Spatial Models for Preferential Sampling.- A Partially Reduced Bias Hill Estimator of the Extreme Value Index.- The importance of experimental design principles in agricultural field trials: a note for grapevine field trials.- A new class of conditional tail expectation estimators.- Tail (In)dependence: a Comparative Analysis of Estimation Methods.- Robust Estimation for the Random Effects Panel Data Models.- Air Quality Data Analysis with Symbolic Principal Components.- Geostatistical Models for Identifying Juvenile Fish Hotspots in Marine Conservation.- Count Models and Randomness Patterns.- Neurological Disease Classification based on Gait Analysis through Transformation-Based Multiple Linear Regression Normalization.- Model and Threshold Selection in the Peaks-Over-Threshold (POT) Methodology: Application to Extreme Precipitation Values in Madeira and Porto Santo Islands.- Revisiting Estimation Methods for Some Parameters of Rare Events.- Clustering and Classification of Compositional Data Using Distributions Defined on the Hypersphere.- Joint Models of Longitudinal Binary Responses: A Nonparametric Bayesian Approach.

• Erscheinungsdatum: 10.01.2025
• Autor/Autorin: Lígia Henriques-Rodrigues
• Reihe: Springer Nature Proceedings excluding Computer Science
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 27.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 350 Seiten
• ISBN: 9783031689499
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.