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New frontiers in statistics and data science = SPE2023, Guimarães, Portugal, October 11-14 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	New frontiers in statistics and data science/ edited by Lígia Henriques-Rodrigues ... [et al.].
Reminder of title:	SPE2023, Guimarães, Portugal, October 11-14 /
remainder title:	SPE 2023
other author:	Henriques-Rodrigues, Lígia.
Corporate Body:	Portuguese Statistical Society.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xiii, 456 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Mathematical statistics -
Online resource:	https://doi.org/10.1007/978-3-031-68949-9
ISBN:	9783031689499

New frontiers in statistics and data science = SPE2023, Guimarães, Portugal, October 11-14 /
Portuguese Statistical Society.CongressGuimarães, Portugal)2023 :

New frontiers in statistics and data scienceSPE2023, Guimarães, Portugal, October 11-14 /[electronic resource] :SPE 2023edited by Lígia Henriques-Rodrigues ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xiii, 456 p. :ill., digital ;24 cm. - Springer proceedings in mathematics & statistics,v. 4692194-1017 ;. - Springer proceedings in mathematics & statistics ;v.24..

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.

This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023). It covers a wide range of cutting-edge topics in both theoretical and applied statistics. Each contribution highlights the latest advancements and research in the field, offering valuable insights and innovative methodologies for researchers and practitioners alike. Readers with a background in mathematics and statistics will find it particularly beneficial, while researchers from various scientific disciplines can explore numerous robust applications.

ISBN: 9783031689499

Standard No.: 10.1007/978-3-031-68949-9doiSubjects--Topical Terms:

682993
Mathematical statistics

LC Class. No.: QA276.A1

Dewey Class. No.: 519.5

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