We focus on a particular set of noise distributions, namely Laplace, Gaussian, Beta, Weibull, and the Marshall Olkin generalized exponential (MOGE), but the framework is prepared to be easily applicable to other distributions.
In 2004, during the landmark lawsuit brought by Burmese villagers in U.S. courts against Unocal Corporation (now Chevron) for complicity in forced labor, torture, and killings along the Yadana pipeline, the companies' contracts with the Myanmar Oil and Gas Enterprise (MOGE) became public documents.
For Weibull and MOGE distributions only the case (zge 0) is relevant, so we determine the error interval the same way as for the Beta distribution.
In particular, we build general noise SVR models following the approach proposed in Section 1 using the Laplace, Gaussian, Beta, Weibull, and MOGE distributions as noise assumptions.
Ms. Hailu taught Ms. Ngussie how to wash her hands with soap before giving the medicine to Moges.
Nevertheless, MOGE(S) nosology differs greatly from the key elements of the TNM classification, as well as its simplicity and clinical applicability.
According to ERI's Legal Director Marco Simons, "while these contracts do require the partners to keep confidential information that they have acquired from MOGE, nothing in them suggests that payments to the regime would qualify as confidential information, or even that the contracts themselves need to be kept confidential".
Both techniques rely on a concrete choice of noise distribution assumption and in this work we have given the mathematical framework needed for their implementation under several distributions, namely Laplace, Gaussian, Beta, Weibull, and MOGE.
In fact, MOGE(S) acronym stands for morphofunctional characteristics (M), organ involvement (O), genetic or familial inheritance pattern (G), etiological information (E), and functional status (S).
