Abstract: We build an advanced offer curve in the day-ahead electricity market for wind power producers based on the multivariate (bivariate or two-dimensional) distribution of the real-time (RT) ...

In this paper, we introduce a Bayesian analysis for a bivariate generalized exponential distribution in the presence of censored data and covariates derived from Copula functions. The generalized ...

Maximum Entropy Empirical Likelihood (MEEL) methods are extended to bivariate distributions with closed form expressions for their bivariate Laplace transforms (BLT) or moment generating functions ...

The purpose of this paper is to propose a new model of asymmetry for square contingency tables with ordered categories. The new model may be appropriate for a square contingency table if it is ...

In recent years, a number of literatures published large-scale genome-wide association studies (GWASs) for human diseases or traits while adjusting for other heritable covariate. However, it is known ...

In this note it is shown that P(η - ξ > 0) can easily be calculated using tables of the bivariate normal distribution, where ξ, η are independent, ξ has a normal distribution, and η has a truncated ...

Abstract: In this letter, a new form of bivariate gamma distribution is proposed from the complex inverse Wishart matrix. We have derived the closed-form expressions for the probability density ...

We use the libraries: Numpy, Scipy, Sympy, Math, statsmodels.api, and Python 3.5 with Anaconda. To down statsmodels, you should visit: http://statsmodels.sourceforge ...

This R package provides functions for the chi-bar-squared distribution, the bivariate chi-bar-squared distribution, and the conic intrinsic volumes. It supports standard functions for the ...