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Maximum-likelihood estimates of the parameters of stochastic differential equations are consistent and asymptotically efficient, but unfortunately difficult to obtain if a closed-form expression for the transitional probability density function of the process is not available. As a result, a...
Persistent link: https://www.econbiz.de/10009483276
and empirical motivation is provided. Various particular cases and expressions for moments are derived. Estimation … procedures by the method of moments and the method of maximum likelihood as well as the associated Fisher information matrix are …
Persistent link: https://www.econbiz.de/10010870676
Gamma distributions are some of the most popular models for hydrological processes. In this paper, a very flexible family which contains the gamma distribution as a particular case is introduced. Evidence of flexibility is shown by examining the shape of its probability density function (pdf). A...
Persistent link: https://www.econbiz.de/10010749904
with different variable combinations and descriptive models (Vector Auto Regressions, Impulse Response Functions or Moments …
Persistent link: https://www.econbiz.de/10011886113
This study proposes two types of bivariate Poisson extended exponential distributions: the basic bivariate Poisson extended exponential distribution and the Sarmanov-based bivariate Poisson extended exponential distribution. The two bivariate Poisson extended exponential distributions are then...
Persistent link: https://www.econbiz.de/10014505329
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introduced. Some structural properties of the new distribution including ordinary and incomplete moments, quantile and generating …
Persistent link: https://www.econbiz.de/10015114967
Persistent link: https://www.econbiz.de/10015045661