Cristina Davino

About Cristina Davino

Cristina Davino, With an exceptional h-index of 14 and a recent h-index of 10 (since 2020), a distinguished researcher at Università degli Studi di Napoli Federico II, specializes in the field of Statistics, multivariate data analysis, quantile regression.

His recent articles reflect a diverse array of research interests and contributions to the field:

Testing heterogeneity in quantile regression: a multigroup approach

Chapter Sustainable development goals: classifying European countries through self-organizing maps

Quantile Composite-Based Path Modeling with R: A Hands-on Guide

Sustainable development goals: classifying European countries through self-organizing maps

BOOK OF SHORT PAPERS-11th International Conference IES 2023-Statistical Methods for Evaluation and Quality: Techniques, Technologies and Trends (T3)

The Use of Principal Components in Quantile Regression: a Simulation Study

Online teaching-learning in higher education during COVID-19 pandemic: Empirical evidence and quantitative studies

Multi-block Quantile Regression Applied to Preference Mapping

Cristina Davino Information

University

Position

- Italy

Citations(all)

957

Citations(since 2020)

552

Cited By

596

hIndex(all)

14

hIndex(since 2020)

10

i10Index(all)

18

i10Index(since 2020)

10

Email

University Profile Page

Università degli Studi di Napoli Federico II

Google Scholar

View Google Scholar Profile

Cristina Davino Skills & Research Interests

Statistics

multivariate data analysis

quantile regression

Top articles of Cristina Davino

Title

Journal

Author(s)

Publication Date

Testing heterogeneity in quantile regression: a multigroup approach

Computational Statistics

Cristina Davino

Giuseppe Lamberti

Domenico Vistocco

2024/2

Chapter Sustainable development goals: classifying European countries through self-organizing maps

Cristina Davino

D’Alesio Nicola

2023

Quantile Composite-Based Path Modeling with R: A Hands-on Guide

Cristina Davino

Pasquale Dolce

Giuseppe Lamberti

Domenico Vistocco

2023/11/15

Sustainable development goals: classifying European countries through self-organizing maps

ASA 2022

Cristina Davino

Nicola D’Alesio

2023

BOOK OF SHORT PAPERS-11th International Conference IES 2023-Statistical Methods for Evaluation and Quality: Techniques, Technologies and Trends (T3)

Cristina Davino

Francesco Palumbo

Rosaria Romano

Domenico Vistocco

2023

The Use of Principal Components in Quantile Regression: a Simulation Study

Cristina Davino

Tormod Næs

Rosaria Romano

Domenico Vistocco

2023

Online teaching-learning in higher education during COVID-19 pandemic: Empirical evidence and quantitative studies

International Journal of Educational Research Open

Lokanath Mishra

Tushar Gupta

Abha Shree

2020/1/1

Multi-block Quantile Regression Applied to Preference Mapping

Cristina Davino

Naes Tormod

Rosaria Romano

Domenico Vistocco

2022

A quantile regression perspective on external preference mapping

AStA Advances in Statistical Analysis

Cristina Davino

Tormod Næs

Rosaria Romano

Domenico Vistocco

2022/12

Quantile composite-based path modeling: algorithms, properties and applications

Advances in Data Analysis and Classification

Pasquale Dolce

Cristina Davino

Domenico Vistocco

2022/12

Handling multicollinearity in quantile regression through the use of principal component regression

Metron

C Davino

R Romano

Domenico Vistocco

2022/8

Composite-based path modeling for conditional quantiles prediction. An application to assess health differences at local level in a well-being perspective

Social Indicators Research

Cristina Davino

Pasquale Dolce

Stefania Taralli

Domenico Vistocco

2022/6

Stat. Edu’21-New Perspectives in Statistics Education. Proceedings of the International Conference Stat. Edu’21

Cristina Davino

Rosa Fabbricatore

Anna Parola

2022/2/10

Assessing heterogeneity in students’ performance. The case of the Massive Open Online Courses

Cristina Davino

Giuseppe Lamberti

2022

Pathmox segmentation trees to compare linear regression models

Cristina Davino

Giuseppe Lamberti

2021

A robust quantile approach to ordinal trees

Rosaria Simone

Cristina Davino

Domenico Vistocco

Tutz Gerhard

2021

Chapter Linear regression pathmox segmentation tree: the case of visitors’ satisfaction to attend a Spanish football match at the stadium

Cristina Davino

Giuseppe Lamberti

2021

Linear regression pathmox segmentation tree: the case of visitors’ satisfaction to attend a Spanish football match at the stadium

ASA 2021

Cristina Davino

Giuseppe Lamberti

2021/12/22

Modelling students’ performance in MOOCs: a multivariate approach

Studies in Higher Education

Maria Carannante

Cristina Davino

Domenico Vistocco

2021/11/2

Chapter A quantitative study to measure the family impact of e-learning

Cristina Davino

Marco GHERGHI

Domenico VISTOCCO

2021

See List of Professors in Cristina Davino University(Università degli Studi di Napoli Federico II)