Use of finite mixture distribution models in the analysis of wind energy in the Canarian Archipelago

By José A. Carta, P. Ramírez. 2007

113 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Environmental Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b5a9da4fb00d999e5f82b008eb217e6f29590cd3

How researchers see this paper

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

In Aerospace Engineering

1. Taha B. M. J. Ouarda
2. Christian Charron

In Environmental Engineering

1. Taha B. M. J. Ouarda
2. Christian Charron

In Statistics and Probability

1. Taha B. M. J. Ouarda
2. Christian Charron

Citations in the corpus

• On the mixture of wind speed distribution in a Nordic region (2018, methodology): “298 The parameters of the mixture distributions are commonly estimated with the least-square 299 (LS) method (Carta and Ramirez, 2007; Shin et al., 2016; Jung and Schindler, 2017) and the 300 maximum likelihood (ML) method (Carta et al., 2009; Shin et al., 2016).”