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variance, positive skewness, and smaller kurtosis. This information, in turn, enables decision makers to determine the ASD …
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, investors prefer the one with positive gain, smaller variance and positive skewness. This information, in turn, enables decision …
Persistent link: https://www.econbiz.de/10011113097
, skewness, and tail-heaviness measures, which are estimates of specific parameters of the underlying population distribution … of asymmetric distributions. In this article, we briefly compare, for each type of parameter (location, scale, skewness …
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distribution of log10(JIF) exhibits conspicuous skewness and non-mesokurticity. In this paper we estimate the parameters of Johnson …-sampling close to bootstrapping. It has been found that log10(JIF) is Pearson-IV distributed. Johnson SU distribution fits very well …
Persistent link: https://www.econbiz.de/10008562615
This paper resulted in a publication in the <I>Journal of Econometrics</I> (2014). Volume 180, pages 127-140.<P> An exact maximum likelihood method is developed for the estimation of parameters in a nonlinear non-Gaussian dynamic panel data model with unobserved random individual-specific and time-varying...</p></i>
Persistent link: https://www.econbiz.de/10011256778
We compare two EGARCH models which belong to a new class of models in which the dynamics are driven by the score of the conditional distribution of the observations. Models of this kind are called dynamic conditional score (DCS) models and their form facilitates the development of a...
Persistent link: https://www.econbiz.de/10010700219
A time series model in which the signal is buried in noise that is non-Gaussian may throw up observations that, when judged by the Gaussian yardstick, are outliers. We describe an observation driven model, based on an exponential generalized beta distribution of the second kind (EGB2), in which...
Persistent link: https://www.econbiz.de/10010700221