Carolina Marchant

Statistics and Probability · 2013–2018

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 25 citations into it
• Artificial Intelligence — 7 citations into it

Whom Carolina Marchant trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Víctor Leiva
2. Gilberto A. Paula
3. Manuel Galea
4. Lucia Santana
5. Saralees Nadarajah
6. Victor Leiva-Sánchez
7. Filidor V. Vilca
8. Samuel Kotz
9. Narayanaswamy Balakrishnan
10. Songxi Chen

Papers from Carolina Marchant's perspective

Ordered by how strongly the researchers Carolina Marchant trusts endorse each paper. Same corpus, a different order for every researcher.

1. Residuals and Influence in Regression
2. Linear Mixed Models for Longitudinal Data (Technometrics)
3. Influence Diagnostics in log-Birnbaum-Saunders Regression Models
4. Birnbaum-Saunders and Lognormal Kernel Estimators for Modelling Durations in High Frequency Financial Data
5. A truncated inverted beta distribution with application to air pollution data
6. Statistical applications of the multivariate skew normal distribution
7. Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t‐distribution
8. Density estimation using inverse and reciprocal inverse Gaussian kernels
9. Economic Control of Quality of Manufactured Product.
10. Optimal asymmetric kernels

Their papers

• A nonparametric method for estimating asymmetric densities based on skewed Birnbaum–Saunders distributions applied to environmental data (2013) — 69 citations
• Robust multivariate control charts based on Birnbaum–Saunders distributions (2018) — 58 citations
• Diagnostics in multivariate generalized Birnbaum-Saunders regression models (2016) — 55 citations