Asymmetric circular-linear multivariate regression models with applications to environmental data

By Ashis SenGupta, Fidelis Ifeanyi Ugwuowo. Environmental and Ecological Statistics, 2006

62 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Environmental Engineering, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/343bb68bf6afc5432b873f263f594f608a439604

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Michael P. Wiper
2. María Concepción Ausín
3. J. Carnicero

In Environmental Engineering

1. Michael P. Wiper
2. María Concepción Ausín
3. J. Carnicero

In Management, Monitoring, Policy and Law

1. Michael P. Wiper
2. María Concepción Ausín
3. J. Carnicero

Citations in the corpus

• Non-parametric copulas for circular–linear and circular–circular data: an application to wind directions (2013, methodology): “…large literature concerning the relationships between circular variables and between circular and linear variables using correlation coefficients, see e.g. Jammalamadaka and Sarma (1988) and Alvo (1998), and regression methods, see e.g. SenGupta and Ugwuowo (2006) and Jammalamadaka and Lund (2006).”